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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 9 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 2026-08-09T06:31:02.800959+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=sha256:65ce2be56ee3d153e7b0d780425e757f47f511011635a04ec70314daa6445758

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:db057233422ddc64e13a2e46b28c427461b5857dc12716944c68598d0b081fe7

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=sha256:85725f286c494b20ed4132887cce67319cb631a5ae731fef65e37ac607f657b3

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=sha256:8a0eac690f9b83ae3cd6695059c520b90fbc1e33a2e585bf39c781b85fcf4cbf

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=arxiv_source observed=2026-08-08T16:40:27.035098Z digest=sha256:e407b7bd3171a09bf3f42a797bb1a3efd2ea77a38ed8286e4b5a62310a267b1b

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:40:27.038406Z digest=sha256:0abe73f00655f37a23eceb14f6970d139979119e8d60a9aad216ec18e5c1d127

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

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T16:40:27.041717Z digest=sha256:93faade7ce98bd31d1ed34b004770e5ac27b0a97ab03cf3fd01384cfa5b9e495

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=arxiv_source observed=2026-08-08T16:40:27.045427Z digest=sha256:94f7a39f0b920f44d615d45608b2d5192eebe1bd83f1a09df5b435a52890e4ec

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T16:40:27.048581Z digest=sha256:d225e31561d52421df525a1d4c8b0f796b027491551213cb9c6febc7366e387a

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:f4320fbdbbb8991a8d89139b7971839f271127e9fd55a4e2a9781e2fb529bc7c

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=sha256:3b8c5944c50c503d45fa8086f7741ce6ef61fc4baa437eb837c0c13c053abade

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:a78634dfc073230ac7eb2aca0485273ae540b2ac4aee78cab07030600d9421bb

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:bd8ddd75707efc16a9a44e942ca599f571cb926c3c0c0dc820ea853fe027e698

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T16:40:27.064391Z digest=sha256:34147d98186a0375ef8a52f847764e1f39ce68896ee098871ac6c5b2c35f39c6

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=sha256:369c4a8b2f4b03bcdcd8cb677d64a41ceb6dc2f593462502eb0c31bd9d582e01

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=sha256:8ea7ca681ed8468102bf38c551e34f87736eeaf50a04137965a444dc0cef1a97

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:baecb2b9a924aab0b1cd6017db747b9359bb3aa00dc544a69b903a610c309d9a

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T16:40:27.075945Z digest=sha256:297530270f80e423fb9ef638c127eec8fdaaf320dc86866dc9cef8109e4731af

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:d0a04df18bff393bd03bd49e4e88d4181ea8eee51676a3a2bd5dd21bae884b1d

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=sha256:0450d95651757ff5bdd3d8f02159baada646a4f1ef8ea123c2b0dfaf66eb4d8a

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=sha256:2f821669cc2a95e4ac738c13f91759b422275baea4ccbb2fd6c1c88c8d947a6d

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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source=arxiv_source observed=2026-08-08T16:40:27.087948Z digest=sha256:63650f4e00641b53af1498f7d4fedea48f22ea5ad499fa76820c34593f0f2cdf

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=sha256:0b0f3121905a788c8bc3dcb61653d3b987da660b2e607f1ed8ce6610e3438e86

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=sha256:9bddab5e8062ddd946689388a1e30d14dae24fa69ba544438f398fca3c90b744

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T16:40:27.096640Z digest=sha256:7e8e0fc25372ec463b46fa090d1429bc004912e19c2f893f089fdd4ae4c16f08

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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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T16:40:27.099640Z digest=sha256:587e50bbe6ea3cca2a5b57afaa446eb0744483e99f2efa9a7d2f3a185757fd84

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=sha256:9cbf9626f562cd01c8be9b086686743137658f7ba3f3cdc309bdd85d6c20e4ed

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

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T16:40:27.105178Z digest=sha256:605ffdf3d7c72ec49abb04772d19149ed5312e1a69332291e523c4e9801511cc

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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source=arxiv_source observed=2026-08-08T16:40:27.108227Z digest=sha256:5c9c893983c27c58cefc74db168e98e471446698f5758c751c9c5821b1de3dae

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=sha256:47532bf054d2384cd15d7d80cfd9ddc57dc5f255669923a73df9b28c474e3b68

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T16:40:27.113604Z digest=sha256:1b5ce8b05e6556368ded56f6cae99dd0f6c05720f5bea06065b6c3464e75604e

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:d79696731fd0d89e0225c3d7c4161f98e0fcbda544fa405ae8431e012c78c081

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T16:40:27.119854Z digest=sha256:e03f5fa3f474b57109f2ce7b410a31f2fceeb7ffc6ab5590ba7d73459a720b92

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:fd5ce4503f4e5b49171f52068ab98a316ce4be633b4ee6b7d03091fa8c5fdf1e

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:b4e3c8f89a76f837ca09aff7f3ea64e53701b2b68b2e32b3e7501b59c1c992b6

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:af0707d4789fa64b219ab843fdc183c19b2bf02fd4b88208e917cd1b59cdd71b

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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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=sha256:72b82248d7dcaa90f352d54140f26c2818fb3f4f65c4f74db80cfcac89a25ad8

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

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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:a8df6cb958b09db92493fdc0fbdb188cfa58f605a5ccb0cb590428e62c18394a

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=sha256:874d162722be0f81d8f6c3e6a1f84cd4b661fad9f22d14b010cc6f6b238fe26f

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=sha256:36e4ec9e00ac1b6b385b9d09392d8c98ef9ec04e5e31e6024822e0557562cd5c

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

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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=sha256:897a95b526dcf8e345a8a25a9861c2b1fea71648f11d808c10389e5102691a38

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=sha256:7f96c5592ffa834c145499d67c9fdba5d290ba1ef39dc22b30fad2e4e99cb3d1

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T16:40:27.149762Z digest=sha256:0e001b66d30a6ac64e33b321514acf3029f0d10edff69ffb55c070b9dcb39036

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

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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=sha256:8731afd38bed179571826f66f965ce852e7079b9b59de0d76552ba0be72ba18c

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=sha256:0e248452f52e4b5466ca88eac05b4d460ffa9c67a78a448a68e3936230253e58

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:a93974c512b260ebed0e4f6c234b19ef2ecd7af760012d25b91cd7f88333fbbc

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=sha256:354849e1d325d346049c702dcd829be9c98343a6627e350ff09e678570ff4db2

Pith citing papers

No inbound Pith citation observations are available.