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Paper Citation Record · LEDGER

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs

As of 10 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2502.06139.

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

pith.paper-citation-record.v1
2502.06139 v2

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:40:27.161917Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

47 of 47 outbound references displayed

  • verified exact5
  • verified fuzzy0
  • unresolved42
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c79289c5-d377-46cd-82ed-5cc6a6664924 · outbound

This paper cites an unresolved cited work.

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs Unresolved cited work

Reference 1

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:40:27.020870Z digest=sha256:a98e1bdcadedacfd53e65122dc7cd814c2398a4411218caabf6e582dffacbc33

Observation 0b9aa49d-cfd0-4eeb-8e50-347e486a28c1 · outbound

This paper cites L-Eval: Instituting Standardized Evaluation for Long Context Language Models.

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs L-Eval: Instituting Standardized Evaluation for Long Context Language Models

Reference 2

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source=arxiv_source observed=2026-08-08T16:40:27.024729Z digest=sha256:c4b1c7803cd94a55af4da33c7765845f3039b4b97678d04d777f065d4d946911

Observation e000b6ac-a531-43bd-8c17-453c64d03cd2 · outbound

This paper cites Make Your LLM Fully Utilize the Context.

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs Make Your LLM Fully Utilize the Context

Reference 3

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source=arxiv_source observed=2026-08-08T16:40:27.028439Z digest=sha256:a0ff9398d42e3d4257f0f46691232b8775502ab2cf0d21bd90c408184865cddb

Observation a8989bb1-be6f-4e1a-bc00-1ee1bb02b9b1 · outbound

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

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding

Reference 4

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source=arxiv_source observed=2026-08-08T16:40:27.031717Z digest=sha256:f748c86453ae67d8bc8a5e80e26d55a999b68a32faddb2957b23c516cbfdabaf

Observation c9632afe-910f-4da6-a012-65c900d7c744 · outbound

This paper cites Longformer: The Long-Document Transformer.

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs Longformer: The Long-Document Transformer

Reference 5

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-08T16:40:27.035098Z digest=sha256:a08b6cc409c2c0c11e50ec9a4d846ffd9ff5061ab3a7784c4bb2f20a7d8b4ea6

Observation 25d094fe-d6b9-4da2-963d-3c1dcedf0e2a · outbound

This paper cites an unresolved cited work.

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs Unresolved cited work

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:40:27.038406Z digest=sha256:b72926e7bf56496e51fd7a977f52a19eda3be4866d475ecb00dbce3e4019b0ee

Observation f2211517-e788-455f-803c-bb30cf499248 · outbound

This paper cites A Simple and Effective Positional Encoding for Transformers.

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs A Simple and Effective Positional Encoding for Transformers

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-08T16:40:27.404736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T16:40:27.041717Z digest=sha256:2a283acbc8de8897e4f1f577d09cceef0466c2d0de562936af78113c41e4a688

Observation 70ca53a5-8c24-42b1-b77d-0417d7a255dd · outbound

This paper cites Extending Context Window of Large Language Models via Positional Interpolation.

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs Extending Context Window of Large Language Models via Positional Interpolation

Reference 8

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-08T16:40:27.045427Z digest=sha256:566ecb8bb6dd6c968557f4390c735dac3aac3631cb974319f3c638e9bef0f1e8

Observation 9cc53210-71f1-40af-9ab5-1e4796a5a939 · outbound

This paper cites MELODI: Exploring Memory Compression for Long Contexts.

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs MELODI: Exploring Memory Compression for Long Contexts

Reference 9

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local_arxiv, observed 2026-08-08T16:40:27.383694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T16:40:27.048581Z digest=sha256:2688140ba517fbd5d84a13ca3524f1523d2c6b131b74bd480ca8cb83eb1fe7d1

Observation 7ce71c04-8dc1-4f65-aeaa-fb1bec1471f0 · outbound

This paper cites Adapting Language Models to Compress Contexts.

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs Adapting Language Models to Compress Contexts

Reference 10

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source=arxiv_source observed=2026-08-08T16:40:27.051577Z digest=sha256:fc4147347ed85337c2b64838ddeeef6935e17a51a97483784a6f7ae5d6874ef2

Observation c1ea49d0-cae8-459a-a269-9daf2737ffad · outbound

This paper cites Generating Long Sequences with Sparse Transformers.

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs Generating Long Sequences with Sparse Transformers

Reference 11

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source=arxiv_source observed=2026-08-08T16:40:27.055347Z digest=sha256:57932d233fc53837b16083e00199bb7a5691b35767497bb3f9efe9a2aa6e79a3

Observation 43b325ad-9b0a-42e6-9f6c-38d930e2f3ca · outbound

This paper cites Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context.

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context

Reference 12

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source=arxiv_source observed=2026-08-08T16:40:27.058408Z digest=sha256:fa8bd1baf9eea4da81f0a4ec6e9789281c36cdb2872771c1ef628c08c6b7f8c8

Observation 4225f83c-dfc6-44e7-9a43-74f5b41ab7d9 · outbound

This paper cites ELI5: Long Form Question Answering.

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs ELI5: Long Form Question Answering

Reference 13

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source=arxiv_source observed=2026-08-08T16:40:27.061510Z digest=sha256:1c63e00da54231d84617c93c6201315622745b7ae413d24372efd26b1045de77

Observation 0dac73db-fba5-49ae-9251-8bfb2d274027 · outbound

This paper cites an unresolved cited work.

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs Unresolved cited work

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T16:40:27.064391Z digest=sha256:4dfed4d06744482d135c5cc5cc8fbb0c9f27de51e07b13871ba72d663aa06b63

Observation 4cbff724-f585-4e2d-993d-ff544519fb21 · outbound

This paper cites Training Foundation Models as Data Compression: On Information, Model Weights and Copyright Law.

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs Training Foundation Models as Data Compression: On Information, Model Weights and Copyright Law

Reference 15

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source=arxiv_source observed=2026-08-08T16:40:27.067104Z digest=sha256:ed45665707a44fb210a83661accaeaaecc8f9c901d660e71b62d7bb66b9da86d

Observation 8f1df4e0-e04f-4933-8c08-3caa549f33e1 · outbound

This paper cites In-context Autoencoder for Context Compression in a Large Language Model.

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs In-context Autoencoder for Context Compression in a Large Language Model

Reference 16

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source=arxiv_source observed=2026-08-08T16:40:27.070080Z digest=sha256:ac1290b3cf3ad6fbc91381406de6740e0d9b1923e779307a2876590751dfed80

Observation 4ea611fe-ff4e-4382-8b20-b55731228bf3 · outbound

This paper cites Perceiver IO: A General Architecture for Structured Inputs & Outputs.

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs Perceiver IO: A General Architecture for Structured Inputs & Outputs

Reference 17

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source=arxiv_source observed=2026-08-08T16:40:27.072949Z digest=sha256:95be3530e33c63eb0b56ec1142be69ab426ed4d5c8f4abc710d2d702ea615ea0

Observation 8f594f04-ae62-454e-8900-6e9aebc30e62 · outbound

This paper cites an unresolved cited work.

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs Unresolved cited work

Reference 18

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T16:40:27.075945Z digest=sha256:308e5d978b854bd53900d294a100b5449829c4b7fbcb9049850c6b8188efde63

Observation d83b80b3-601d-441d-b7cf-6f2b72df8a91 · outbound

This paper cites MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention.

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention

Reference 19

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source=arxiv_source observed=2026-08-08T16:40:27.078878Z digest=sha256:64451fa9de5c29108ee99cceb0a6d5576e3fa5ac33d88d0c47be1394fa0e72f1

Observation 37b597b1-877e-44d4-886d-b5cd82c29c5c · outbound

This paper cites Adam: A Method for Stochastic Optimization.

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs Adam: A Method for Stochastic Optimization

Reference 20

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source=arxiv_source observed=2026-08-08T16:40:27.081762Z digest=sha256:e9add6bf2e5d5ab05772a660b6b11c3b87092b89cd416c321f2e0e92ae825e37

Observation 838750f6-107b-4a92-a932-9f5d0e54f58e · outbound

This paper cites Reformer: The Efficient Transformer.

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs Reformer: The Efficient Transformer

Reference 21

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source=arxiv_source observed=2026-08-08T16:40:27.085012Z digest=sha256:9e4a462e2f99cf494566b33377cc04ae06ebfadce6481432e6ec26b88627ded6

Observation 23584a54-a886-4097-9897-1b1806702224 · outbound

This paper cites an unresolved cited work.

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs Unresolved cited work

Reference 22

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T16:40:27.087948Z digest=sha256:b8ef871836e5802b25900e3298846f88478ec69da100f9b25c99877d28171432

Observation 077fd05e-ef55-4c6c-9f93-bf5fd87e668d · outbound

This paper cites Training LLMs over Neurally Compressed Text.

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs Training LLMs over Neurally Compressed Text

Reference 23

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source=arxiv_source observed=2026-08-08T16:40:27.090758Z digest=sha256:4dace0ed918b1bc858f3f5862e99a88c96e584f61190b4daedb71aefc2b6bdc3

Observation 0f368372-216b-45ec-9fc6-c629eb6c1806 · outbound

This paper cites Long-context LLMs Struggle with Long In-context Learning.

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs Long-context LLMs Struggle with Long In-context Learning

Reference 24

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source=arxiv_source observed=2026-08-08T16:40:27.093627Z digest=sha256:55f3561db19234c177a7d426c349a608dd858de9a2d56a0face4eb249e6a49d8

Observation b6ed8cd5-7ec0-4496-be2e-5f2ebb504741 · outbound

This paper cites Recurrent Attention Networks for Long-text Modeling.

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs Recurrent Attention Networks for Long-text Modeling

Reference 25

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local_arxiv, observed 2026-08-08T16:40:27.278235Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T16:40:27.096640Z digest=sha256:4dc7ebbf6dfd80e2604f5d491f6d101d936999a817b2ea6b49a8704ebe235881

Observation a5d79559-bb71-4d41-b4af-a408798f0012 · outbound

This paper cites an unresolved cited work.

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs Unresolved cited work

Reference 26

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raw_fallback, observed 2026-08-08T16:40:27.499331Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T16:40:27.099640Z digest=sha256:fcf364b18af9b8f23595f8eb17898f0119270a009c201d7536928fda838d37e7

Observation 25536e3b-b728-4870-a73e-01c44e432a08 · outbound

This paper cites an unresolved cited work.

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs Unresolved cited work

Reference 27

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source=arxiv_source observed=2026-08-08T16:40:27.102450Z digest=sha256:2481ac105dc1ae43c26bc9e3278974784e3f963534f0a7b51fb521449fc17ffb

Observation eceff328-fcc0-4a4e-9c0a-09cdefdd2b6e · outbound

This paper cites Segmented Recurrent Transformer: An Efficient Sequence-to-Sequence Model.

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs Segmented Recurrent Transformer: An Efficient Sequence-to-Sequence Model

Reference 28

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verified exact
local_arxiv, observed 2026-08-08T16:40:27.266676Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T16:40:27.105178Z digest=sha256:304595c0e78a20368dea4d5c9f24e7d160d684690dbd75686309352454bf4602

Observation 6566a8a4-624a-4bf3-a5a5-bb96782e0f05 · outbound

This paper cites an unresolved cited work.

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs Unresolved cited work

Reference 29

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no resolver link, observed 2026-08-08T16:40:27.108227Z

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source=arxiv_source observed=2026-08-08T16:40:27.108227Z digest=sha256:a7da9d5737232ddd9dd3fb35bcd2fd696ff1263c363e512c705a27116a2c61e4

Observation 49f4b07a-f84e-418e-b2a5-8a38b35df918 · outbound

This paper cites an unresolved cited work.

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs Unresolved cited work

Reference 30

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source=arxiv_source observed=2026-08-08T16:40:27.110960Z digest=sha256:3bc6c20b640f02acaf79237377f3f28108e1723aa12b997723f78e6049734f5b

Observation cfd2d7b2-a681-4fb3-a1a1-5cb4ef8dc918 · outbound

This paper cites Compressing Search with Language Models.

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs Compressing Search with Language Models

Reference 31

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local_arxiv, observed 2026-08-08T16:40:27.253802Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T16:40:27.113604Z digest=sha256:21077ae7eb377413749759b057bcff076c39e0f2263fb52c65b85008111427ca

Observation 7e743b09-7564-4e83-b58c-c4ef2182a605 · outbound

This paper cites A Comprehensive Overview of Large Language Models.

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs A Comprehensive Overview of Large Language Models

Reference 32

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source=arxiv_source observed=2026-08-08T16:40:27.116533Z digest=sha256:00e919a436a64f464f0d231d7eb005497ea8e7ffd7f8203c9b30bb997b06ae3d

Observation d809d31f-6104-45fa-8086-6400b4465ede · outbound

This paper cites an unresolved cited work.

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs Unresolved cited work

Reference 33

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T16:40:27.119854Z digest=sha256:ba8f69ea6d961d91fba2cf32c56e0b0107e61e5f5cd3b3a5830b2151e992357b

Observation e6a8a128-8416-4d08-b869-85e429d018d7 · outbound

This paper cites an unresolved cited work.

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs Unresolved cited work

Reference 34

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source=arxiv_source observed=2026-08-08T16:40:27.122811Z digest=sha256:d774c7225fd5098a51a69b71dcc6d4b2f88382e87e42daac2009ae3f908557c6

Observation c86064bf-d4a9-47de-bb77-974fb8aa001f · outbound

This paper cites Compressive Transformers for Long-Range Sequence Modelling.

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs Compressive Transformers for Long-Range Sequence Modelling

Reference 35

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source=arxiv_source observed=2026-08-08T16:40:27.125663Z digest=sha256:18089e07b70681c57df9a73c0d41f9bd2290a46cef38d321660e396f902556b8

Observation 2a422d61-e9b2-437f-af4d-f0f02939d213 · outbound

This paper cites an unresolved cited work.

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs Unresolved cited work

Reference 36

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:40:27.128699Z digest=sha256:d082f686920a727b94bf3efd80caa1cc1d6b7bde2a5303b2ed2e2fa2905c9436

Observation 67210e78-312c-47b1-aba9-7521640f632c · outbound

This paper cites an unresolved cited work.

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs Unresolved cited work

Reference 37

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unresolved
no resolver link, observed 2026-08-08T16:40:27.131394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:40:27.131394Z digest=sha256:3f0a8877a4c7612839289cda8c51f5e90412a37d43189b3d17cdecc05762fd26

Observation d9dbe00e-5308-4e40-9627-4edb781f83f0 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-08T16:40:27.134192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:40:27.134192Z digest=sha256:9a87cec73a44a56e902c52e470e8150e676cb889d2baffc8bb71321cf04f7a91

Observation 94bf9039-4d55-48dc-aab1-5980808a5128 · outbound

This paper cites LLMZip: Lossless Text Compression using Large Language Models.

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs LLMZip: Lossless Text Compression using Large Language Models

Reference 39

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unresolved
no resolver link, observed 2026-08-08T16:40:27.137261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:40:27.137261Z digest=sha256:31b2c15f02a12631a186c2d6888e8bf5581076912f28ee29535d5b9005242330

Observation aca9f893-7e38-4ca1-8cb7-848da941fa0e · outbound

This paper cites Beyond the Limits: A Survey of Techniques to Extend the Context Length in Large Language Models.

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs Beyond the Limits: A Survey of Techniques to Extend the Context Length in Large Language Models

Reference 40

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unresolved
no resolver link, observed 2026-08-08T16:40:27.140872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:40:27.140872Z digest=sha256:60f61e21e5b9d4adc9acd7ba28b1aac7b900d8a6203f75f60f00697d45998d7b

Observation f3abdad5-d6d6-4bf7-9db5-7d93a8240816 · outbound

This paper cites Memformer: A Memory-Augmented Transformer for Sequence Modeling.

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs Memformer: A Memory-Augmented Transformer for Sequence Modeling

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-08T16:40:27.143938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:40:27.143938Z digest=sha256:d5dc699c2180360e063b26669619fb9b8b6ad3d0c4fba9ea1572ac15cbdf0b9d

Observation 9e171111-c68c-4f9a-8a32-b6a2c5e377a6 · outbound

This paper cites an unresolved cited work.

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs Unresolved cited work

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-08T16:40:27.146959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:40:27.146959Z digest=sha256:4e070ac4e8cc01a9dc9b10296eb63f3bce41ce415fd4600669ae342109e8aed8

Observation 98baec5f-ef17-4e67-ae31-fc00e7f5a13b · outbound

This paper cites an unresolved cited work.

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-08T16:40:27.453437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T16:40:27.149762Z digest=sha256:91ae2276e6f4b52524628c7b9df75cabd72fd1f727a604f30e7cc9dfa8c25605

Observation 1bd33b90-4fab-412f-b267-ef28802aead2 · outbound

This paper cites PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling.

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-08T16:40:27.152428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:40:27.152428Z digest=sha256:e83827e718cd06eaf8a0d2e9915de373194345bd500892da6f1d5979d73e40bb

Observation d2fd2cb8-6ee0-409b-8eab-e6096194e2b9 · outbound

This paper cites A Survey of Large Language Models.

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs A Survey of Large Language Models

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-08T16:40:27.155559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:40:27.155559Z digest=sha256:a2c2bcc21c558de680e850d575f19101a5d427254cbffdf1603d115e4904b93a

Observation 18141191-efe8-411f-aa23-9cfc0d2689cd · outbound

This paper cites online" 'onlinestring :=.

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs online" 'onlinestring :=

Reference 46

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unresolved
no resolver link, observed 2026-08-08T16:40:27.158592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:40:27.158592Z digest=sha256:dc81877a8405e3707d8bc5d0d99c7a669cda305ee691e1dfe5eebfc8bbd1384c

Observation 02065c8e-1d88-4025-a4a4-250fe5b0191d · outbound

This paper cites write newline.

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs write newline

Reference 47

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unresolved
no resolver link, observed 2026-08-08T16:40:27.161917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:40:27.161917Z digest=sha256:f45ed34aabfa7f54cd02e19927b155ec3306711d986663fb0c49052487d9f580

Pith citing papers

No inbound Pith citation observations are available.