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Paper Citation Record · LEDGER

Memorization and Knowledge Injection in Gated LLMs

As of 17 August 2026, this Paper Citation Record lists 97 of 97 outbound references and 2 inbound Pith citation observations for arXiv:2504.21239.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2504.21239 v1

Coverage vector

measured 97 of 97 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:16:41.677882Z

measured 99 of 99 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T10:36:29.456241Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-18T07:22:27.784185Z

Reference resolution

97 of 97 outbound references displayed

  • verified exact1
  • verified fuzzy16
  • unresolved80
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 58e9bd6b-b45d-4220-b47f-05ca13a0a52d · outbound

This paper cites write newline.

Memorization and Knowledge Injection in Gated LLMs write newline

Reference 1

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:16:41.135955Z digest=sha256:41dae5b8424aa7b1b0b828980004e21c340b66950f015b6c5f90775bf61e3771

Observation c3b17a6c-d3b0-4423-9774-8268ee1f21ed · outbound

This paper cites LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding.

Memorization and Knowledge Injection in Gated LLMs LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding

Reference 2

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source=arxiv_source observed=2026-08-16T05:16:41.146628Z digest=sha256:aa69715d7e2d1d2bbbbd78acbe5a7db69087f7a5355d42dd9e3c83b7f8265108

Observation 1999a715-beec-4492-a466-f10e206b1ae5 · outbound

This paper cites The Reversal Curse: LLMs trained on "A is B" fail to learn "B is A".

Memorization and Knowledge Injection in Gated LLMs The Reversal Curse: LLMs trained on "A is B" fail to learn "B is A"

Reference 3

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source=arxiv_source observed=2026-08-16T05:16:41.155545Z digest=sha256:5a484451643fe8ce2d45ff0c534793d1ec41c05db08e495f9e086cd2ab613b5c

Observation dc18b297-06b0-4559-a0aa-f8b1fbd975dc · outbound

This paper cites LoRA Learns Less and Forgets Less.

Memorization and Knowledge Injection in Gated LLMs LoRA Learns Less and Forgets Less

Reference 4

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source=arxiv_source observed=2026-08-16T05:16:41.160939Z digest=sha256:22d44115672debb3017805681fc7b86c9e6b52f9a626c8794e77aca39223f2ea

Observation b80d2d6d-5fe3-4538-b51e-d7943f4094f9 · outbound

This paper cites and Schulz, E.

Memorization and Knowledge Injection in Gated LLMs and Schulz, E

Reference 5

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source=arxiv_source observed=2026-08-16T05:16:41.167349Z digest=sha256:c708be340447e754e79bf21f4f4f6df34629549acbc00fde77b2c82d05ec4660

Observation 42ff43b8-c6a2-4768-8d67-283f8ed956b5 · outbound

This paper cites Concepts as semantic pointers: A framework and computational model.

Memorization and Knowledge Injection in Gated LLMs Concepts as semantic pointers: A framework and computational model

Reference 6

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source=arxiv_source observed=2026-08-16T05:16:41.172767Z digest=sha256:b2ac488eee0de9a561171770443361b7c456ad98d188e18ae545cbdf4170308a

Observation fccdfc86-7992-48f7-baa3-9a16ff90803a · outbound

This paper cites D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al.

Memorization and Knowledge Injection in Gated LLMs D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al

Reference 7

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source=arxiv_source observed=2026-08-16T05:16:41.178489Z digest=sha256:736d71891788190cf853a6b398b14e5a470718a6d3d22887764f84ba2900b3e0

Observation f6f70219-3f80-4692-b8dd-d1bbc47dedc2 · outbound

This paper cites an unresolved cited work.

Memorization and Knowledge Injection in Gated LLMs Unresolved cited work

Reference 8

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source=arxiv_source observed=2026-08-16T05:16:41.183757Z digest=sha256:3bfc8f004890b49f45a56e0bef4eab25da0c81169d5db93ac01c81550afaeb3c

Observation 05481a27-a234-4614-96fe-3d838caa5425 · outbound

This paper cites Don't Do RAG: When Cache-Augmented Generation is All You Need for Knowledge Tasks.

Memorization and Knowledge Injection in Gated LLMs Don't Do RAG: When Cache-Augmented Generation is All You Need for Knowledge Tasks

Reference 9

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source=arxiv_source observed=2026-08-16T05:16:41.188480Z digest=sha256:b7d5852c1547ac42d5a84e3ada2d130442de702e921bba46bcb36971725836e1

Observation 6040ff64-6f07-4844-9b30-075578b131c8 · outbound

This paper cites How is ChatGPT's behavior changing over time?.

Memorization and Knowledge Injection in Gated LLMs How is ChatGPT's behavior changing over time?

Reference 10

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source=arxiv_source observed=2026-08-16T05:16:41.194267Z digest=sha256:418b6b28dffd96072e9c10cc54d9757d1afaae6da14af2d13cac41745fbce34b

Observation 12a9c613-1d5b-4465-85b9-82da557d6a82 · outbound

This paper cites Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting.

Memorization and Knowledge Injection in Gated LLMs Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting

Reference 11

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source=arxiv_source observed=2026-08-16T05:16:41.199008Z digest=sha256:c4bb9198ee152ba7b243f84ed4d56b80d859036f9aa692842d2ea5ee9927482a

Observation fbbac37b-8235-4445-85ca-1f883d8a7e65 · outbound

This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

Memorization and Knowledge Injection in Gated LLMs Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 12

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source=arxiv_source observed=2026-08-16T05:16:41.203496Z digest=sha256:f42454343f3cd0289c9d241d6f8f49d0931a121cbd6c8fdd20e62e88d6bef115

Observation 64197c8e-c13d-4851-b95e-e8a3161e57e6 · outbound

This paper cites X., and Schulz, E.

Memorization and Knowledge Injection in Gated LLMs X., and Schulz, E

Reference 13

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source=arxiv_source observed=2026-08-16T05:16:41.208949Z digest=sha256:b91f20f8c99c1e5ff61d05fba13e7c8c01ac8c71ea2971630ecc0d6f3ad5fbd4

Observation 5aa1c60f-010c-459b-b40a-02d7b16e6f02 · outbound

This paper cites Larimar: Large Language Models with Episodic Memory Control.

Memorization and Knowledge Injection in Gated LLMs Larimar: Large Language Models with Episodic Memory Control

Reference 14

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source=arxiv_source observed=2026-08-16T05:16:41.213099Z digest=sha256:ae0b17b43efb33e659fdab54995ee0537fbbacae8c425049741a670143ea4891

Observation 89f0af77-02dd-425d-8620-6530c5b61d0c · outbound

This paper cites Research on the Online Update Method for Retrieval-Augmented Generation (RAG) Model with Incremental Learning.

Memorization and Knowledge Injection in Gated LLMs Research on the Online Update Method for Retrieval-Augmented Generation (RAG) Model with Incremental Learning

Reference 15

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source=arxiv_source observed=2026-08-16T05:16:41.217748Z digest=sha256:97699a66612102b292c612d14dd6ede678124ca1cdacba0de9bf9c13c6af60c4

Observation a7acf40b-4ef1-45b9-be63-4c48486cb01c · outbound

This paper cites Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity.

Memorization and Knowledge Injection in Gated LLMs Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity

Reference 16

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source=arxiv_source observed=2026-08-16T05:16:41.222226Z digest=sha256:ac9ad540a4d477258dd6dcb616e50a6f1231f74f18887d953181503a5b243713

Observation 5b781abc-c611-4fac-8fb9-1be9f03fde38 · outbound

This paper cites A., Oomerjee, A., Christopoulou, F., Lampouras, G., Bou-Ammar, H., and Wang, J.

Memorization and Knowledge Injection in Gated LLMs A., Oomerjee, A., Christopoulou, F., Lampouras, G., Bou-Ammar, H., and Wang, J

Reference 17

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source=arxiv_source observed=2026-08-16T05:16:41.228469Z digest=sha256:e95a83ac876d2cc0c8a952a7ab9549d6ec3ff0cd8da6ca31aa82aa5aef5cc4da

Observation cb46011c-1b58-4298-8237-db108a67516c · outbound

This paper cites an unresolved cited work.

Memorization and Knowledge Injection in Gated LLMs Unresolved cited work

Reference 18

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source=arxiv_source observed=2026-08-16T05:16:41.240078Z digest=sha256:b524a20d9949c0ff593d825d2682173e4e2515cc36ca4f6cc89903f6771c17a3

Observation 62f2641a-c84a-4dae-9837-c3008118c41a · outbound

This paper cites Model Editing by Standard Fine-Tuning.

Memorization and Knowledge Injection in Gated LLMs Model Editing by Standard Fine-Tuning

Reference 19

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local_arxiv, observed 2026-08-16T05:16:42.858454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T05:16:41.247569Z digest=sha256:149ffa7051cba5be05a400a1cc670470bb954e0da59fbf6b5edf6a993187ce1c

Observation d3d3d059-cbcb-4b22-bb96-3cd6eaf1038c · outbound

This paper cites and Derrida, B.

Memorization and Knowledge Injection in Gated LLMs and Derrida, B

Reference 20

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source=arxiv_source observed=2026-08-16T05:16:41.253037Z digest=sha256:ec5b0df7cf0aa76a796be5a01a5c3f2a26d4dda09f7425321a64dd27271e13c8

Observation 8802bcef-cf0f-42a1-974c-c52c0b8de837 · outbound

This paper cites Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?.

Memorization and Knowledge Injection in Gated LLMs Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

Reference 21

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source=arxiv_source observed=2026-08-16T05:16:41.258403Z digest=sha256:ccca953616cf835181fbdf054e9a9012e0a2fe4d29f04069787b9cd69aa62ea9

Observation 86b200ea-7c4d-40ba-8ee6-95e0e6177c41 · outbound

This paper cites Key-value memory in the brain.

Memorization and Knowledge Injection in Gated LLMs Key-value memory in the brain

Reference 22

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source=arxiv_source observed=2026-08-16T05:16:41.263898Z digest=sha256:6ef06139895e585f352b239c7f466fe82d1213e44c8ba9ac80b23ac883b0d82f

Observation a130b423-3b65-42a3-8d60-a9458db4f22c · outbound

This paper cites Model Editing at Scale leads to Gradual and Catastrophic Forgetting.

Memorization and Knowledge Injection in Gated LLMs Model Editing at Scale leads to Gradual and Catastrophic Forgetting

Reference 23

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source=arxiv_source observed=2026-08-16T05:16:41.270239Z digest=sha256:9f4f4d64c4a6f20a27f986edc3d8b0a7eea6b9595133e74a01cbd9d0bd640b82

Observation 3479d498-3263-4377-96c9-0340db123e41 · outbound

This paper cites K., and Soares, G.

Memorization and Knowledge Injection in Gated LLMs K., and Soares, G

Reference 24

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source=arxiv_source observed=2026-08-16T05:16:41.275539Z digest=sha256:b68b881a9dcab9ff84c3fa04649849568422cdfd756a8e0d0b1401ceab81e908

Observation 81ce2275-5522-41bf-bb3d-91c879468be7 · outbound

This paper cites J., Shu, Y., Gu, Y., Yasunaga, M., and Su, Y.

Memorization and Knowledge Injection in Gated LLMs J., Shu, Y., Gu, Y., Yasunaga, M., and Su, Y

Reference 25

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source=arxiv_source observed=2026-08-16T05:16:41.283331Z digest=sha256:57ffe7e6fa630baa30e0f98b6d66a8c58f0394032c3c2a72513e85495f394845

Observation dcebdd6e-eb67-4f9a-a488-7ec52d6a5b3e · outbound

This paper cites Machine Psychology.

Memorization and Knowledge Injection in Gated LLMs Machine Psychology

Reference 26

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source=arxiv_source observed=2026-08-16T05:16:41.288590Z digest=sha256:464520b9b22c0fa8ddd915adfed7f1c9835e90c9676f9673bdaa16d882f28a31

Observation 425e91c2-42d3-4df9-8d48-2c642db41efe · outbound

This paper cites Retrieval-Augmented Generation with Graphs (GraphRAG).

Memorization and Knowledge Injection in Gated LLMs Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 27

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source=arxiv_source observed=2026-08-16T05:16:41.292771Z digest=sha256:9fa0f77f347b1822292790a49e4ce8435f3174d1aee34cb5294140cce77e40c7

Observation 4510ab94-346b-4c88-901f-5d881d5098be · outbound

This paper cites Aging with grace: Lifelong model editing with discrete key-value adaptors.

Memorization and Knowledge Injection in Gated LLMs Aging with grace: Lifelong model editing with discrete key-value adaptors

Reference 28

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source=arxiv_source observed=2026-08-16T05:16:41.297346Z digest=sha256:b5d3c5647e116dbcd5c566d00a4043ee18cd26e09bf9d83d49c06d23745d2ac7

Observation c7403cbf-7958-41c2-8cdf-017f3a4931d8 · outbound

This paper cites and Schmidhuber, J.

Memorization and Knowledge Injection in Gated LLMs and Schmidhuber, J

Reference 29

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source=arxiv_source observed=2026-08-16T05:16:41.301812Z digest=sha256:856b9a81cdbc65876dc7f056a85574e772b1afaf397dcc4d41523ce7203d6894

Observation c7b27234-e523-45a8-a95c-9a3dafec524c · outbound

This paper cites an unresolved cited work.

Memorization and Knowledge Injection in Gated LLMs Unresolved cited work

Reference 30

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source=arxiv_source observed=2026-08-16T05:16:41.305662Z digest=sha256:e0d5620a9e804edb1bb14ba3f8e275e9bb6878cb76d04d71eee2a95ade0a33aa

Observation 471e4e37-9505-4f75-86ed-c9c11dd69dec · outbound

This paper cites Editing the Mind of Giants: An In-Depth Exploration of Pitfalls of Knowledge Editing in Large Language Models.

Memorization and Knowledge Injection in Gated LLMs Editing the Mind of Giants: An In-Depth Exploration of Pitfalls of Knowledge Editing in Large Language Models

Reference 31

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source=arxiv_source observed=2026-08-16T05:16:41.310197Z digest=sha256:ec3e0bb1e529ec313c30b300e598b461cb8ac5a5e8090c74bd5192141e778deb

Observation 98318a8b-7aa4-4eae-9f41-21b3707f2e25 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Memorization and Knowledge Injection in Gated LLMs LoRA: Low-Rank Adaptation of Large Language Models

Reference 32

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source=arxiv_source observed=2026-08-16T05:16:41.316820Z digest=sha256:6ec2e4f2d8ba4be1297991bd3432cc34a0941844f3c1dc017ffc617831e4968b

Observation 13beabba-a05e-4481-a894-9d8ec5fcb2b9 · outbound

This paper cites Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal.

Memorization and Knowledge Injection in Gated LLMs Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal

Reference 33

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source=arxiv_source observed=2026-08-16T05:16:41.321157Z digest=sha256:df3190dfd6efd18ab678e470bfb08ae1df5d3a975bf92ade7f8e5a864f7f06d6

Observation 7042bfd2-601b-446b-a358-603f933e5ee4 · outbound

This paper cites Aspects of human memory and Large Language Models.

Memorization and Knowledge Injection in Gated LLMs Aspects of human memory and Large Language Models

Reference 34

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source=arxiv_source observed=2026-08-16T05:16:41.327126Z digest=sha256:06fb4e3d863ef6599cfcc02dd3c7d3e2c43cee02a2c3945a7e588084f042c70e

Observation fa8788fb-dabe-4d04-b382-4f114d587c19 · outbound

This paper cites Mixtral of Experts.

Memorization and Knowledge Injection in Gated LLMs Mixtral of Experts

Reference 35

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source=arxiv_source observed=2026-08-16T05:16:41.332057Z digest=sha256:6abb6b61e7901100b02edd6e0f084f4ee2eba4e13dcd24c4dd4cada11f97cc41

Observation aa47dae1-6c88-4483-84b9-3978c2c81553 · outbound

This paper cites PMoE: Progressive Mixture of Experts with Asymmetric Transformer for Continual Learning.

Memorization and Knowledge Injection in Gated LLMs PMoE: Progressive Mixture of Experts with Asymmetric Transformer for Continual Learning

Reference 36

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source=arxiv_source observed=2026-08-16T05:16:41.338420Z digest=sha256:dc6758c8128a3f8fc9f97b8e3142579cc9eda17d3b93041a64280232909692d1

Observation c55beafe-74b4-438e-9e6d-aa4ea964a7b0 · outbound

This paper cites A Rank Stabilization Scaling Factor for Fine-Tuning with LoRA.

Memorization and Knowledge Injection in Gated LLMs A Rank Stabilization Scaling Factor for Fine-Tuning with LoRA

Reference 37

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source=arxiv_source observed=2026-08-16T05:16:41.344815Z digest=sha256:b94381edde3fffe775542749db062dfd28c9fd3613aa4e02957d704811d7688e

Observation 8e9f11a1-a6f2-499f-ae79-b1a594fbbc70 · outbound

This paper cites Unfamiliar Finetuning Examples Control How Language Models Hallucinate.

Memorization and Knowledge Injection in Gated LLMs Unfamiliar Finetuning Examples Control How Language Models Hallucinate

Reference 38

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source=arxiv_source observed=2026-08-16T05:16:41.351123Z digest=sha256:6d30f10928c7dd03294b5023ef68dc18f416ab1b256651c056b4237e6607ca31

Observation f4f4bbf0-77b6-43d4-89c9-48cc8cf9b9bd · outbound

This paper cites and Sompolinsky, H.

Memorization and Knowledge Injection in Gated LLMs and Sompolinsky, H

Reference 39

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source=arxiv_source observed=2026-08-16T05:16:41.360446Z digest=sha256:c5287e369a3dc71896fd7a0b84ea11678570ca1cceb377a9477db5a3aeb421ae

Observation 8a3fbe72-6330-4083-88b1-333f7c1f2155 · outbound

This paper cites A., Milan, K., Quan, J., Ramalho, T., Grabska-Barwinska, A., et al.

Memorization and Knowledge Injection in Gated LLMs A., Milan, K., Quan, J., Ramalho, T., Grabska-Barwinska, A., et al

Reference 40

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source=arxiv_source observed=2026-08-16T05:16:41.365348Z digest=sha256:f873b74934211c16d90828e0cb36b318e53648fabb3cd2d6036f53302836cb59

Observation 85440204-1de3-47d2-8636-e7db004bf284 · outbound

This paper cites and Sompolinsky, H.

Memorization and Knowledge Injection in Gated LLMs and Sompolinsky, H

Reference 41

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source=arxiv_source observed=2026-08-16T05:16:41.369842Z digest=sha256:431e2fd72694ac1fb1f14a60a68c45b43ea8c3753ea6dcc0d4ee26e97871f9ac

Observation 88b7bd97-b9eb-4513-84bb-9dcfe7da157c · outbound

This paper cites Understanding Catastrophic Forgetting in Language Models via Implicit Inference.

Memorization and Knowledge Injection in Gated LLMs Understanding Catastrophic Forgetting in Language Models via Implicit Inference

Reference 42

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source=arxiv_source observed=2026-08-16T05:16:41.375225Z digest=sha256:54c48b1d7ba4d91fece1cadd027ab9952d0bc77c7ef3968157dfa0ca7643ae23

Observation 70fe03a0-8b62-4f99-bb3b-64f38dc05a93 · outbound

This paper cites Efficient Knowledge Injection in LLMs via Self-Distillation.

Memorization and Knowledge Injection in Gated LLMs Efficient Knowledge Injection in LLMs via Self-Distillation

Reference 43

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source=arxiv_source observed=2026-08-16T05:16:41.380894Z digest=sha256:6c61c7621bb11d8245bb02181a80a34e507347d31d116d53c5c0620bb5380be6

Observation d1e79ae0-3dda-4a4e-b700-230b6fe273bb · outbound

This paper cites Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models.

Memorization and Knowledge Injection in Gated LLMs Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models

Reference 44

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no resolver link, observed 2026-08-16T05:16:41.385374Z

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source=arxiv_source observed=2026-08-16T05:16:41.385374Z digest=sha256:0a8a4890fd154a5f4b721a4f3d6e4fba07ccb0ee5a790f42de9bf6435fd0ae9f

Observation ce2490f4-0c18-4065-83df-f19fc0533b91 · outbound

This paper cites Zero-Shot Relation Extraction via Reading Comprehension.

Memorization and Knowledge Injection in Gated LLMs Zero-Shot Relation Extraction via Reading Comprehension

Reference 45

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no resolver link, observed 2026-08-16T05:16:41.391655Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-16T05:16:41.391655Z digest=sha256:0bf228ac99f9e1bdafb8fa8c888b371926eba4b8c7e18afcec2484e22daff297

Observation 5bfb41ca-a4be-476b-836e-41aa385f544a · outbound

This paper cites u ttler, H., Lewis, M., Yih, W.-t., Rockt \.

Memorization and Knowledge Injection in Gated LLMs u ttler, H., Lewis, M., Yih, W.-t., Rockt \

Reference 46

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no resolver link, observed 2026-08-16T05:16:41.397268Z

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source=arxiv_source observed=2026-08-16T05:16:41.397268Z digest=sha256:482c61c5208aef6f4e05ed522ea60ba961ba026c7333f32b69070f5fd3ea3382

Observation 67c1da96-d8ab-4b91-b137-145897c5f858 · outbound

This paper cites Language Modeling with Editable External Knowledge.

Memorization and Knowledge Injection in Gated LLMs Language Modeling with Editable External Knowledge

Reference 47

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no resolver link, observed 2026-08-16T05:16:41.403108Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-16T05:16:41.403108Z digest=sha256:6d7a064e578ed7e60a37232289f2ab28a015ba9a64174c72ef1bb1d496d59f3f

Observation 3c746e7a-2e3d-4754-a29e-e2deb163fd94 · outbound

This paper cites and Sompolinsky, H.

Memorization and Knowledge Injection in Gated LLMs and Sompolinsky, H

Reference 48

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no resolver link, observed 2026-08-16T05:16:41.411161Z

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source=arxiv_source observed=2026-08-16T05:16:41.411161Z digest=sha256:bdfc3e4fe72f1b119d012267d0f2c39714099cbb6833399a78d49746b59b0c5b

Observation 108611ed-f4f7-47ed-a43d-2b9db0a410dc · outbound

This paper cites On the storage capacity of hopfield models with correlated patterns.

Memorization and Knowledge Injection in Gated LLMs On the storage capacity of hopfield models with correlated patterns

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:16:43.649142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T05:16:41.416926Z digest=sha256:f65a72e9f58a56abefffd370bd7123ae81e1ed814a3c038b892cc784c4036dd2

Observation fa7ad2d4-8d89-4119-b012-383ec44fecaf · outbound

This paper cites MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models.

Memorization and Knowledge Injection in Gated LLMs MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models

Reference 50

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-16T05:16:41.421522Z digest=sha256:a6cc46081fcf60e82d451ffc9ff33b1890b9ea77dcc92e7d6c3457fcd6e91ce0

Observation 24b4f310-be58-453c-b9a9-886dae9e5efa · outbound

This paper cites An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning.

Memorization and Knowledge Injection in Gated LLMs An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning

Reference 51

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source=arxiv_source observed=2026-08-16T05:16:41.426467Z digest=sha256:86a12fb1f6f5bcbb001e8d5977caa9b84076c78912a4016b9a8a7efeec370bbc

Observation f401ab33-44d9-40de-b750-e468be1119d9 · outbound

This paper cites L., McNaughton, B.

Memorization and Knowledge Injection in Gated LLMs L., McNaughton, B

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:16:43.634419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T05:16:41.432591Z digest=sha256:481ad66555748019096e8884100d27a866d5f5029bcaa260ae82bafee7b1c765

Observation b5b9316d-9b4b-4d23-a8ea-2c911ee7a47f · outbound

This paper cites Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning.

Memorization and Knowledge Injection in Gated LLMs Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning

Reference 53

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no resolver link, observed 2026-08-16T05:16:41.438260Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-16T05:16:41.438260Z digest=sha256:6504355d66c9a47dcf27d5c974a2fca9218a0e34d53897748a076eb113100991

Observation 22e7e576-8561-44f5-83a1-603a3b53516a · outbound

This paper cites Locating and editing factual associations in gpt.

Memorization and Knowledge Injection in Gated LLMs Locating and editing factual associations in gpt

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:16:43.621010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T05:16:41.443057Z digest=sha256:c536b6f1fab1231bd07459f55cd55203e19844f4b93401e1a0deac644462e181

Observation 91961ea4-f7c4-4505-b408-621820794708 · outbound

This paper cites Mass-Editing Memory in a Transformer.

Memorization and Knowledge Injection in Gated LLMs Mass-Editing Memory in a Transformer

Reference 55

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no resolver link, observed 2026-08-16T05:16:41.449076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:16:41.449076Z digest=sha256:abcd6dd28857ae8de3effd489770b8a9349d13d0228ee01374a687c189a91d73

Observation 844ced59-c069-4a54-83a7-df8cc2737099 · outbound

This paper cites Fast Model Editing at Scale.

Memorization and Knowledge Injection in Gated LLMs Fast Model Editing at Scale

Reference 56

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no resolver link, observed 2026-08-16T05:16:41.454270Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-16T05:16:41.454270Z digest=sha256:3e14757cea2c76309d828b73801478803db3ece64447ef223f66f1bf98b4da35

Observation e9d2ae9e-de62-471f-8773-d0b1bc3b5bba · outbound

This paper cites MemLLM: Finetuning LLMs to Use An Explicit Read-Write Memory.

Memorization and Knowledge Injection in Gated LLMs MemLLM: Finetuning LLMs to Use An Explicit Read-Write Memory

Reference 57

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source=arxiv_source observed=2026-08-16T05:16:41.458736Z digest=sha256:f88367ac1acdf60805763ea6765835d03243555b2e8497cc02b8a263f9328403

Observation b3cff3e3-6c88-45dd-8d3d-cc275229ba3d · outbound

This paper cites Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation.

Memorization and Knowledge Injection in Gated LLMs Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation

Reference 58

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-16T05:16:41.463405Z digest=sha256:a681a00b9a93fd0c0544311bc0358d09e04ed871e210bbcd824c3885dca57bab

Observation 46f70e97-56fe-482e-9418-060547062790 · outbound

This paper cites SGPT: GPT Sentence Embeddings for Semantic Search.

Memorization and Knowledge Injection in Gated LLMs SGPT: GPT Sentence Embeddings for Semantic Search

Reference 59

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:16:41.468412Z digest=sha256:34aeb963bca3193619ba49c1daadbb70a79bcd1ea61d1e48ef6a0a8a5f2ac424

Observation 66ff1f28-4d1e-4786-a48c-228a98914753 · outbound

This paper cites Short-term memory and long-term memory are still different.

Memorization and Knowledge Injection in Gated LLMs Short-term memory and long-term memory are still different

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:16:43.606838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T05:16:41.473257Z digest=sha256:0a3760b3565a37d9237be74b45fac3091b23cc056b808b4bf5ca2e798440917e

Observation cdf227d4-575e-4b61-b984-ad1b1e054cfd · outbound

This paper cites Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs.

Memorization and Knowledge Injection in Gated LLMs Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs

Reference 61

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no resolver link, observed 2026-08-16T05:16:41.477882Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-16T05:16:41.477882Z digest=sha256:5515b6775a779747e34beda3803ae3186bb2d2d5aedf49705c8badfbdf191ef8

Observation 9e6c77ad-5c75-466b-a0b8-66a7e67eeab1 · outbound

This paper cites Propagating knowledge updates to lms through distillation.

Memorization and Knowledge Injection in Gated LLMs Propagating knowledge updates to lms through distillation

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:16:43.593152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T05:16:41.483307Z digest=sha256:fb25f656345971825afa5abe0561706ca4965e701fcf562f295aee2a8a9ea00f

Observation 039fd7de-f408-4be1-919a-bac8e5e0bc82 · outbound

This paper cites In-Context Editing: Learning Knowledge from Self-Induced Distributions.

Memorization and Knowledge Injection in Gated LLMs In-Context Editing: Learning Knowledge from Self-Induced Distributions

Reference 63

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no resolver link, observed 2026-08-16T05:16:41.487442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:16:41.487442Z digest=sha256:870a0a1fd876a14df06a71b745dc88b357112dc66725e00ceda6e742e1e3bcad

Observation 1da35401-c173-49f1-adc6-37d4b6b44198 · outbound

This paper cites Memorag: Boosting long context processing with global memory-enhanced retrieval augmentation.

Memorization and Knowledge Injection in Gated LLMs Memorag: Boosting long context processing with global memory-enhanced retrieval augmentation

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:16:43.575340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T05:16:41.492632Z digest=sha256:f29b9586da0d55d125cd46c1b60179a8674eef5195fb26ff2f42091ccac17d22

Observation f5fe1709-5b3c-4b3b-951a-7c556afaff57 · outbound

This paper cites Memory in humans and deep language models: Linking hypotheses for model augmentation.

Memorization and Knowledge Injection in Gated LLMs Memory in humans and deep language models: Linking hypotheses for model augmentation

Reference 65

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no resolver link, observed 2026-08-16T05:16:41.497394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:16:41.497394Z digest=sha256:e9a90bf41add7b0cd5c6b86d5fed61d1cf9230f6a4ae28fd52b372b465eae8df

Observation 673955ab-07a1-40db-adb8-e5ee5ef9a6fb · outbound

This paper cites an unresolved cited work.

Memorization and Knowledge Injection in Gated LLMs Unresolved cited work

Reference 66

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unresolved
raw_fallback, observed 2026-08-16T05:16:43.561550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T05:16:41.503132Z digest=sha256:b7bf894abf32f0a599e3abe6676c55de88e1825df79a9a0173e8945720a9782a

Observation 970fdd0e-8863-445e-af1e-d23f528f05bd · outbound

This paper cites Efficiency of local learning rules in threshold-linear associative networks.

Memorization and Knowledge Injection in Gated LLMs Efficiency of local learning rules in threshold-linear associative networks

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:16:43.539872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T05:16:41.507606Z digest=sha256:d404bb01874d4d24cf64d5ec3b4552e7f86b2bdad23dd87a89a598999d06ab30

Observation a99b1790-c42a-432f-940d-a55b4916fc49 · outbound

This paper cites A rapid and efficient learning rule for biological neural circuits.

Memorization and Knowledge Injection in Gated LLMs A rapid and efficient learning rule for biological neural circuits

Reference 68

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verified fuzzy
raw_fallback, observed 2026-08-16T05:16:43.524992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T05:16:41.513921Z digest=sha256:4dc5c33ae4f17ba4454ccecd1a78e9f59f1f83531a694447f7495c35b295ab88

Observation d3d9414e-51bc-4953-aec0-4930e59887b7 · outbound

This paper cites Stochastic consolidation of lifelong memory.

Memorization and Knowledge Injection in Gated LLMs Stochastic consolidation of lifelong memory

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:16:43.510520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T05:16:41.518879Z digest=sha256:86b1f33577a2dd811c2b0fa53c409fcc4a8cde01502631a8c0fa49eceed05ba7

Observation e75202cb-377b-41a9-a56a-05cbc4815525 · outbound

This paper cites Order parameters and phase transitions of continual learning in deep neural networks.

Memorization and Knowledge Injection in Gated LLMs Order parameters and phase transitions of continual learning in deep neural networks

Reference 70

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no resolver link, observed 2026-08-16T05:16:41.524214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:16:41.524214Z digest=sha256:5142a70c97edc535e162a158c56a66d60773675e37b099a78bd6ae79aa70b2e2

Observation fa8d94ca-5ff1-49bd-937a-7e6f87e26508 · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

Memorization and Knowledge Injection in Gated LLMs Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 71

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no resolver link, observed 2026-08-16T05:16:41.530120Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-16T05:16:41.530120Z digest=sha256:cf8c3b5f04bf3a91d5872800142b85c226c5babf0cf795622e2d8eb81a1ccd35

Observation 8b9a68c0-cd62-493c-ae72-1f52f4ec26a4 · outbound

This paper cites Continual Learning of Large Language Models: A Comprehensive Survey.

Memorization and Knowledge Injection in Gated LLMs Continual Learning of Large Language Models: A Comprehensive Survey

Reference 72

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no resolver link, observed 2026-08-16T05:16:41.536030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:16:41.536030Z digest=sha256:23f1cafc20524b07043055db53e06063cf714469a30d1f6cfe701687007835e0

Observation 4691aee8-293c-4b48-a3bc-e47ce889e336 · outbound

This paper cites and Sutton, R.

Memorization and Knowledge Injection in Gated LLMs and Sutton, R

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:16:43.495987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T05:16:41.541029Z digest=sha256:9fdcdde66a1806c08d385e89fcb790644bacd9a522e0d867265ca8c08f13dab0

Observation c2a425a5-f885-41d3-9b9a-315bb942bb31 · outbound

This paper cites How to Alleviate Catastrophic Forgetting in LLMs Finetuning? Hierarchical Layer-Wise and Element-Wise Regularization.

Memorization and Knowledge Injection in Gated LLMs How to Alleviate Catastrophic Forgetting in LLMs Finetuning? Hierarchical Layer-Wise and Element-Wise Regularization

Reference 74

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no resolver link, observed 2026-08-16T05:16:41.545919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:16:41.545919Z digest=sha256:76b8359e1ab0588c34a90744925c51a5b754ff2e5ec5370a5712fa45d78e43d2

Observation e9114882-f6cb-4fd6-ab01-b7bc3237bdfa · outbound

This paper cites LAMOL: LAnguage MOdeling for Lifelong Language Learning.

Memorization and Knowledge Injection in Gated LLMs LAMOL: LAnguage MOdeling for Lifelong Language Learning

Reference 75

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no resolver link, observed 2026-08-16T05:16:41.552368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:16:41.552368Z digest=sha256:9db0f26ad54e6efe395567514017a94fc32139b50c1509655b090ace08e377fc

Observation bc4673c1-2de5-4b1e-9a68-d9a3428bc51f · outbound

This paper cites an unresolved cited work.

Memorization and Knowledge Injection in Gated LLMs Unresolved cited work

Reference 76

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:16:43.478046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T05:16:41.558079Z digest=sha256:5ddb516dcb8c2763fa874cd0770c772dfd746be7500fa435bc97bdd9def15f1b

Observation 5be164d7-f516-49d2-86be-a4af149fbe64 · outbound

This paper cites Understanding the limits of lifelong knowledge editing in llms.

Memorization and Knowledge Injection in Gated LLMs Understanding the limits of lifelong knowledge editing in llms

Reference 77

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unresolved
no resolver link, observed 2026-08-16T05:16:41.563704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:16:41.563704Z digest=sha256:ea7ff24787317c333ffcd7e97a918ab611fb69399c52ff05e353dc10ba017cf6

Observation 0159b05e-014e-4942-b3fd-d502f8250f88 · outbound

This paper cites Gated linear networks.

Memorization and Knowledge Injection in Gated LLMs Gated linear networks

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:16:43.457251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T05:16:41.569619Z digest=sha256:35b501fd7e64c2eb25dae4fb27d004f27d943bf3938a8b7971eea82ba43ea442

Observation 148a259e-0b97-4e19-9192-1373906d1d9b · outbound

This paper cites Wise: Rethinking the knowledge memory for lifelong model editing of large language models.

Memorization and Knowledge Injection in Gated LLMs Wise: Rethinking the knowledge memory for lifelong model editing of large language models

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:16:43.439084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T05:16:41.576385Z digest=sha256:5d803b33e48de5f6ab23ecb2f835e880d95e3f85d332450c1b9b94de7ce25bb1

Observation 9ac394a0-d76d-47a4-8c2f-5cf35d9831f2 · outbound

This paper cites Self-updatable large language models by integrating context into model parameters.

Memorization and Knowledge Injection in Gated LLMs Self-updatable large language models by integrating context into model parameters

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:16:43.419956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T05:16:41.581363Z digest=sha256:72c44d8c7db70cbb4f317ee77aef6fc85c855057e26f718274eb74b970019672

Observation 22a126c4-391c-4b9d-af44-9786c964025d · outbound

This paper cites Towards LifeSpan Cognitive Systems.

Memorization and Knowledge Injection in Gated LLMs Towards LifeSpan Cognitive Systems

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-16T05:16:41.587190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:16:41.587190Z digest=sha256:63224f10f467bfb176edfe61a3bb4c81c186581a77e453cec742fe3f05da81da

Observation bf62ed7c-f8d3-460c-9a80-2135b842474c · outbound

This paper cites InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory.

Memorization and Knowledge Injection in Gated LLMs InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-16T05:16:41.594133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:16:41.594133Z digest=sha256:05e1ca4b25e3753914a721b4998bcec73ebb3af39e23962ff48b17ab9ea26592

Observation 5a9d90ae-d70c-4615-8858-b11c5b78d860 · outbound

This paper cites MeteoRA: Multiple-tasks Embedded LoRA for Large Language Models.

Memorization and Knowledge Injection in Gated LLMs MeteoRA: Multiple-tasks Embedded LoRA for Large Language Models

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-16T05:16:41.601037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:16:41.601037Z digest=sha256:3b48637e09303d0da06776202d27632e6bf51286a6f818bc990f22eb39d9373b

Observation ea6ef240-5cd2-4b85-b415-3f778c93c4b0 · outbound

This paper cites Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing.

Memorization and Knowledge Injection in Gated LLMs Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-16T05:16:41.607054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:16:41.607054Z digest=sha256:bc5a7f8c61f1f8ab8daa245ba121d0fce7fc3e93806897c22c43ec250e39ccc1

Observation 66c8eed4-8397-4d09-8347-8a713d3ac1fb · outbound

This paper cites Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities.

Memorization and Knowledge Injection in Gated LLMs Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-16T05:16:41.611658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:16:41.611658Z digest=sha256:a2f9449d5325cb121da768b390826104a2efe28a8a00be4a6e5c86b216b6013f

Observation f0cc11f0-4943-410c-bccf-5a95873d5f3f · outbound

This paper cites $\text{Memory}^3$: Language Modeling with Explicit Memory.

Memorization and Knowledge Injection in Gated LLMs $\text{Memory}^3$: Language Modeling with Explicit Memory

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-16T05:16:41.617374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:16:41.617374Z digest=sha256:a7b4890a57ad58117368f1e2b2390a89666656fc348337285cd5ef867fcc0901

Observation 03452df8-b4a6-450e-9914-ad50da59ea40 · outbound

This paper cites Unveiling the Generalization Power of Fine-Tuned Large Language Models.

Memorization and Knowledge Injection in Gated LLMs Unveiling the Generalization Power of Fine-Tuned Large Language Models

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-16T05:16:41.622385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:16:41.622385Z digest=sha256:a69c0655e43edb96f53483a1b7d3a1d749d8ec36faf22f00186789e96606ccb2

Observation b0ba93cd-4772-47e2-ba69-2c8e7c591b63 · outbound

This paper cites The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse.

Memorization and Knowledge Injection in Gated LLMs The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-16T05:16:41.627357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:16:41.627357Z digest=sha256:df9235067bf88af2c8232221b2ad38b340a7a4c496921a6f13a699a5c56f1827

Observation 3bbca866-29c9-416f-b78f-f8b9b93a656a · outbound

This paper cites Melo: Enhancing model editing with neuron-indexed dynamic lora.

Memorization and Knowledge Injection in Gated LLMs Melo: Enhancing model editing with neuron-indexed dynamic lora

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-16T05:16:41.633361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:16:41.633361Z digest=sha256:eac0d9ff2d0c2dee84b749f3f326ff23fce740a5bfa066ca936fa1aa7306dc60

Observation 09f261a5-31f4-472f-93e0-278d9a35e70d · outbound

This paper cites J., and Ma, Y.

Memorization and Knowledge Injection in Gated LLMs J., and Ma, Y

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:16:43.197156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T05:16:41.639332Z digest=sha256:1a35921fc0c04bdd0a05769b1e8882139478396447a5de73d17010cee0d29e37

Observation 296bf271-b6aa-442c-bfd4-2caaa300617d · outbound

This paper cites DH-RAG: A Dynamic Historical Context-Powered Retrieval-Augmented Generation Method for Multi-Turn Dialogue.

Memorization and Knowledge Injection in Gated LLMs DH-RAG: A Dynamic Historical Context-Powered Retrieval-Augmented Generation Method for Multi-Turn Dialogue

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-16T05:16:41.643368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:16:41.643368Z digest=sha256:abe6c65925d6c5d00bc2dd633167d6f27e60c5dff065164e2405ffd0f0867d76

Observation 6232976d-9cfc-4dbb-958d-1dff491d9959 · outbound

This paper cites A Comprehensive Study of Knowledge Editing for Large Language Models.

Memorization and Knowledge Injection in Gated LLMs A Comprehensive Study of Knowledge Editing for Large Language Models

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-16T05:16:41.648387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:16:41.648387Z digest=sha256:166ee2d55c5cdf7a9fe411654b7a198d2430fdc8dc996c623bfcf7235b3ea91a

Observation 968c6ea6-3982-4f0b-a756-af347648fd48 · outbound

This paper cites Revisiting Few-sample BERT Fine-tuning.

Memorization and Knowledge Injection in Gated LLMs Revisiting Few-sample BERT Fine-tuning

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-16T05:16:41.653732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:16:41.653732Z digest=sha256:eba344462953840a7cc0c9796d3813acbbf6ba5feaf7c961441697af4366fc29

Observation b877ecf8-d858-49af-b92d-c3f8b62b6a71 · outbound

This paper cites and Wu, J.

Memorization and Knowledge Injection in Gated LLMs and Wu, J

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:16:43.178377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T05:16:41.658497Z digest=sha256:b806e43271357489b03412789ce8d111dcd38baf7941d825c2dcd707988129a9

Observation 181cefb4-0b5f-4216-b569-1db626860cb9 · outbound

This paper cites LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild.

Memorization and Knowledge Injection in Gated LLMs LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-16T05:16:41.664918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:16:41.664918Z digest=sha256:062bb06287a8af69b596ab77ebd16d205293cfb000ba1ecddea74de5d5c01c3b

Observation 78f76a7a-9fb0-464e-af00-c97be9945e0e · outbound

This paper cites Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models.

Memorization and Knowledge Injection in Gated LLMs Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models

Reference 96

Resolution
unresolved
no resolver link, observed 2026-08-16T05:16:41.670472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:16:41.670472Z digest=sha256:31eb1c15f89562f7af23418016a47ce4dbf7845f2c66907e364f678c5b141a80

Observation f9fceb39-b580-45e1-a5ec-0ac6c2c67474 · outbound

This paper cites Initializing and retrofitting key-value adaptors for traceable model editing.

Memorization and Knowledge Injection in Gated LLMs Initializing and retrofitting key-value adaptors for traceable model editing

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:16:43.158958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T05:16:41.677882Z digest=sha256:77bfee2e363d3bc6e19953fb548b2ab2c55275cf21909ac162259dca5076e915

Pith citing papers

Observation 6d511518-0e5b-4fbd-8f16-155fa51a9a6c · inbound

Diffusion-Inspired Masked Fine-Tuning for Knowledge Injection in Autoregressive LLMs cites this paper.

Diffusion-Inspired Masked Fine-Tuning for Knowledge Injection in Autoregressive LLMs Memorization and Knowledge Injection in Gated LLMs

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-18T07:22:27.788068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T07:21:54.004830Z digest=sha256:29488675427c6a8f4688041b92469878eefb0e7d80f2db35107d580e07b5976c

Observation eb7f651f-6b2e-4da8-a09f-3be99c126897 · inbound

Diffusion-Inspired Masked Fine-Tuning for Knowledge Injection in Autoregressive LLMs cites this paper.

Diffusion-Inspired Masked Fine-Tuning for Knowledge Injection in Autoregressive LLMs Memorization and Knowledge Injection in Gated LLMs

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-04T10:36:29.456241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:36:29.456241Z digest=sha256:1b16dff3ed601bfa4dc628eb8e1fe3125f5f72c5e56aa196bf3b6572fa04f4e6