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Paper Citation Record · LEDGER

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning

As of 9 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 2 inbound Pith citation observations for arXiv:2509.08255.

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

pith.paper-citation-record.v1
2509.08255 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T21:01:50.184299Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T11:10:56.755558Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:39:42.248343Z

Reference resolution

41 of 41 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved40
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3c405917-72b0-4d4b-bc23-1d996c47091f · outbound

This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Sparks of Artificial General Intelligence: Early experiments with GPT-4

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-04T21:01:50.073288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T21:01:50.073288Z digest=sha256:3237312d118b299b205c770b097facd76bd762059b7592fc2a942971c50051b6

Observation 16b5ec68-8940-40d9-aecb-b2fb3fdf3ccb · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Evaluating Large Language Models Trained on Code

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-04T21:01:50.076854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T21:01:50.076854Z digest=sha256:88bd7cf26caa1a9024d2d7b62e89c5cd61eb3268326615bf22526e3d3d5b85d8

Observation 1162857d-fc50-48ec-b1a7-3f9d347a1ef1 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Training Verifiers to Solve Math Word Problems

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-04T21:01:50.079957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T21:01:50.079957Z digest=sha256:979400a751b22e5a58e02c87d70c81abeb8e81e352882ff85aff78966b6097fa

Observation 0f0f5cf4-875e-4fbb-ad68-e2572c600abc · outbound

This paper cites The Llama 3 Herd of Models.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning The Llama 3 Herd of Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-04T21:01:50.083312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T21:01:50.083312Z digest=sha256:420fa45412c0e0fd2df1f6f72dee263722fc7e6abcddc45af64423b2337565d7

Observation 1cfcec74-297e-49e4-8916-cb848caeab50 · outbound

This paper cites an unresolved cited work.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-04T21:01:50.526801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-04T21:01:50.086428Z digest=sha256:c5281414dc709b2c7ede1985dfba2ea93fc44402543249055289ae0471e643f3

Observation 595af52b-d71e-45e2-947a-a7ec483fb551 · outbound

This paper cites Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-04T21:01:50.089222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T21:01:50.089222Z digest=sha256:6cb97c410bd2cb2fee0a1b46908dd0f7693ceefe337ad06c59c489ef8a4f3b42

Observation 85dfea82-19e0-453e-a183-52186a0b48a1 · outbound

This paper cites an unresolved cited work.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Unresolved cited work

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-04T21:01:50.092487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T21:01:50.092487Z digest=sha256:6bd54015d0d3e0eb5913415f107474df894139203a4a4d97d83f0c6bf7fdc778

Observation a09443c2-dc30-4b27-b21c-041e3bdce6eb · outbound

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

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning LoRA: Low-Rank Adaptation of Large Language Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-04T21:01:50.095125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T21:01:50.095125Z digest=sha256:05e832434f817af2452fc51c8f12943c043655d3754ae1dfe94a9532828ccd4e

Observation a983c063-bd01-4da3-8970-72212a877880 · outbound

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

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-04T21:01:50.098098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T21:01:50.098098Z digest=sha256:06d0f5606c578a530782159f2e617635f10b67bee916fa1bb21d431f16e72f24

Observation 7ee622ac-335d-466e-a92e-a8c5af803b38 · outbound

This paper cites C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-04T21:01:50.100902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T21:01:50.100902Z digest=sha256:486f3dbeab9b1a689b217d5e9deda18222c6ddba97223640a4513d57d141407e

Observation 03efe4ff-a7b8-4852-8f44-ae105a9ed153 · outbound

This paper cites an unresolved cited work.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-04T21:01:50.512894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-04T21:01:50.103774Z digest=sha256:cda6980f778c2145f3da77ce665c013d04d36df87cd568226df6034c2efa91a7

Observation 5cbd8523-9210-46ea-a538-446d3e5025a8 · outbound

This paper cites an unresolved cited work.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Unresolved cited work

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-04T21:01:50.106584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T21:01:50.106584Z digest=sha256:026e28804edb73cbc9d3bba28d10316059805f89a21190c2736d52a4a8d4a063

Observation e786a74c-6437-49d9-80a6-38144e0f0cba · outbound

This paper cites an unresolved cited work.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-04T21:01:50.499343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-04T21:01:50.109076Z digest=sha256:eb5744dbb65241245693df1a750dfd2ca2e1eec995dea45df75b792cca3552ba

Observation 5fa49079-bb5b-42ed-b0bc-dc34bc065b6b · outbound

This paper cites QASC: A Dataset for Question Answering via Sentence Composition.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning QASC: A Dataset for Question Answering via Sentence Composition

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-04T21:01:50.111539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T21:01:50.111539Z digest=sha256:3bec2e826b6ba43d164b7c2bd63af599b6e681eccf03337ea0a1114709de7f51

Observation 36032b2a-df67-42b6-8a5c-2d05cf66a0ad · outbound

This paper cites an unresolved cited work.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Unresolved cited work

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-04T21:01:50.114167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T21:01:50.114167Z digest=sha256:546447765db6d981c8106f00d151a5adea658d462a58ef74c9c57820a9e41bf3

Observation bff3046d-74c5-44f2-be20-b1d895549236 · outbound

This paper cites an unresolved cited work.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-04T21:01:50.484878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-04T21:01:50.116726Z digest=sha256:5372419d4d405e5b309ddce3449d909a3f08b576f691256e5a2c94836eeb60d3

Observation eedb4ffa-f212-4150-bc00-168f8e512a60 · outbound

This paper cites an unresolved cited work.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-04T21:01:50.476231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-04T21:01:50.119285Z digest=sha256:e596ae78c64d58291d7ba26f187e0ab4ad20e0def238c911c4fb6c736ffdd6af

Observation 72ea7093-72fc-45d0-a8f9-e07ade9e556d · outbound

This paper cites an unresolved cited work.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-04T21:01:50.467177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-04T21:01:50.121830Z digest=sha256:fb65c64e5b99c28f1954fc8d926dc96bad94191430009d6dd87c44dd237df440

Observation 1f34472f-2b41-4fc4-af15-a05165cda945 · outbound

This paper cites Mitigating the Alignment Tax of RLHF.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Mitigating the Alignment Tax of RLHF

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-04T21:01:50.125128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T21:01:50.125128Z digest=sha256:8a18f0df7eee7e5954c841990d99a318fce687660783cf3e915bbd8a2cc58e02

Observation 0d244430-83b6-43f3-baf4-f4021921dc53 · outbound

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

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-04T21:01:50.127888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T21:01:50.127888Z digest=sha256:3142682884b25fdabab88ddf6464b110c16c781ac4d8f74d376e850dbfdda8e9

Observation ae1a5c34-7275-49d2-af42-aba7dcb7c18c · outbound

This paper cites Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-04T21:01:50.130702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T21:01:50.130702Z digest=sha256:62b9055e3e950bbe684c781781d5d7ad925f8243438194a6d28b12087a3904ae

Observation bc6b972b-edeb-4725-ae8b-d168f3ad410d · outbound

This paper cites an unresolved cited work.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-04T21:01:50.458650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-04T21:01:50.133425Z digest=sha256:775be1f6f32dfc9e601a91b4d594b27a8b27f21663890aa238548ec53c6c5d77

Observation 0c236082-2d06-4225-8c19-587b936ccbb3 · outbound

This paper cites an unresolved cited work.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Unresolved cited work

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-04T21:01:50.135922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T21:01:50.135922Z digest=sha256:eea596194feb1382a03848a26622260bd2a7f7d19843df714d283e25e8318fae

Observation 51f95d6d-c6ec-479c-9093-913045eab396 · outbound

This paper cites an unresolved cited work.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Unresolved cited work

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-04T21:01:50.138528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T21:01:50.138528Z digest=sha256:4cb1ad77ea0c7a47b0727a286f70380b590ded650a39a169b531e64bd4baa70e

Observation 2daa4c2d-dc25-4e64-a32a-76619f610a62 · outbound

This paper cites an unresolved cited work.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Unresolved cited work

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-04T21:01:50.141114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T21:01:50.141114Z digest=sha256:608fdd8a3daf56690ad1f38d8a6c019e5b32c688b288babfd9ea8509b6ee7b6f

Observation 74788909-bb49-4916-9031-8b044487ffd9 · outbound

This paper cites an unresolved cited work.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-04T21:01:50.438065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-04T21:01:50.143831Z digest=sha256:1c9943a57885280a0020917fa9a275849ec8a9ed1091d7c35a928a50114adada

Observation 83861191-fad8-4ec2-b985-bb85b8d57159 · outbound

This paper cites A Simple and Effective Pruning Approach for Large Language Models.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning A Simple and Effective Pruning Approach for Large Language Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-04T21:01:50.146642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T21:01:50.146642Z digest=sha256:e54c25ed2250c90802cbc9c6705b480598b5f5449928fe891ac96f4027604726

Observation 202e5159-d4f9-41b9-8630-91094f121080 · outbound

This paper cites an unresolved cited work.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-04T21:01:50.427111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-04T21:01:50.149360Z digest=sha256:078cf997b3c984dc9c680fcb79e5f1aeb1a5482e7beeb1911104ab584cba8425

Observation 619514b3-7ac3-4bf7-83a9-9b1a624c358d · outbound

This paper cites an unresolved cited work.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-04T21:01:50.417736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-04T21:01:50.151936Z digest=sha256:6114353bbfe316ead4a0d1f538a8ef24736874b8e09d6c6809031238ac105f4d

Observation f02f53da-3324-4585-b8b4-5384d57be70a · outbound

This paper cites an unresolved cited work.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-04T21:01:50.409073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-04T21:01:50.154422Z digest=sha256:a4c142bc324698c6a11125de12a4034d6abc7ffd1d1dc46898b4aacd9d68e4c8

Observation 65c8605f-563f-4a9e-8f51-86a960255c9e · outbound

This paper cites Mitigating catastrophic forgetting in online continual learning by modeling previous task interrelations via pareto optimization.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Mitigating catastrophic forgetting in online continual learning by modeling previous task interrelations via pareto optimization

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T21:01:50.399524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-04T21:01:50.156905Z digest=sha256:262d60725289ffc0aaae5d06f3b862e78be9e32d84df5e5f344cf2bdf938e942

Observation 572e3f72-34eb-4b4e-bb4e-08b41562ffdd · outbound

This paper cites ReFT: Representation Finetuning for Language Models.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning ReFT: Representation Finetuning for Language Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-04T21:01:50.159542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T21:01:50.159542Z digest=sha256:b393d8d0223462ca773f8a7ce07465ae052b032d649616d15ce4bc3f157659ff

Observation 442d743f-545a-4dc8-be31-e4363e81797b · outbound

This paper cites an unresolved cited work.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-04T21:01:50.389674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-04T21:01:50.162462Z digest=sha256:186c78168d9525319e277d111ee1aa4d83528699485705443b3699bfdb0788bf

Observation 85b2bc8d-b799-4c86-90de-a6027818e083 · outbound

This paper cites Qwen2 Technical Report.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Qwen2 Technical Report

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-04T21:01:50.164903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T21:01:50.164903Z digest=sha256:0c0f396b6864d139ad8fefa32a1a6b1840664cf8c3e3abff772af2ad775a2c9b

Observation f35c2afd-fac3-4bd9-aa56-0e448f1e0f14 · outbound

This paper cites an unresolved cited work.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-04T21:01:50.379984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-04T21:01:50.167855Z digest=sha256:05b33d69417771ca171174f6093447119491656a2f9cf507b75cea2afeb7d030

Observation dd0c8626-a09e-4699-82cb-090e4af39d59 · outbound

This paper cites an unresolved cited work.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Unresolved cited work

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-04T21:01:50.170372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T21:01:50.170372Z digest=sha256:01c0216c731f28745942f54555b578efb40dff381b04d3f857b35fb87279a1d7

Observation ff376a3a-b949-4ec1-a0a2-3df40d6fd30d · outbound

This paper cites MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-04T21:01:50.172952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T21:01:50.172952Z digest=sha256:e21552c0c1c4f5b2095af56ed06af3d77c580a9305d94bbc2000220559c50c3f

Observation 365301a1-374d-4318-ae2a-9a455659c975 · outbound

This paper cites Balancing Speciality and Versatility: A Coarse to Fine Framework for Mitigating Catastrophic Forgetting in Large Language Models.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Balancing Speciality and Versatility: A Coarse to Fine Framework for Mitigating Catastrophic Forgetting in Large Language Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-04T21:01:50.175713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1af06819-54e8-495b-9c3d-6b2e328fb0bc · outbound

This paper cites LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-04T21:01:50.178382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0ae904a6-4ba8-4571-ae61-a7cd3197a8aa · outbound

This paper cites online" 'onlinestring :=.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning online" 'onlinestring :=

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-04T21:01:50.180933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T21:01:50.180933Z digest=sha256:61978540c8f040670a1f5643575c83dc2ac9162de30fa02b37bf55f9319e3f1d

Observation 3493489f-5cd3-4828-a2f6-dccdc7c725c9 · outbound

This paper cites write newline.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning write newline

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-04T21:01:50.184299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T21:01:50.184299Z digest=sha256:c69828f8f50dc631dc8e92b525dc160cbfeeac2f0280f4baf1d58c7e51f2ae37

Pith citing papers

Observation 768c81ed-621b-4ec5-9d03-87361a537cbd · inbound

Spectral Unforgetting: Post-Hoc Recovery of Damaged Capabilities Without Retraining cites this paper.

Spectral Unforgetting: Post-Hoc Recovery of Damaged Capabilities Without Retraining Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-21T07:49:49.902029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 323258c1-76b1-450c-9c1d-2d951894027c · inbound

Curriculum Reinforcement Learning Can Incentivize Reasoning Capacity in LLMs Beyond the Base Model cites this paper.

Curriculum Reinforcement Learning Can Incentivize Reasoning Capacity in LLMs Beyond the Base Model Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-07-04T08:39:42.251664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T11:10:56.755558Z digest=sha256:e04c4578a396183fc3c65ee9b77faf68bf2268857f731d370f2677aea2ab8c72