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Paper Citation Record · LEDGER

Retrieval meets Long Context Large Language Models

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 29 inbound Pith citation observations for arXiv:2310.03025.

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

pith.paper-citation-record.v1
2310.03025 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 29 of 29 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 29 of 29 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:12:58.880191Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T00:55:11.897574Z

Reference resolution

0 of 0 outbound references displayed

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  • malformed identifier0
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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9a66380c-abca-4d0e-9070-9af157f126d6 · inbound

Retrieval-Augmented Generation for Large Language Models: A Survey cites this paper.

Retrieval-Augmented Generation for Large Language Models: A Survey Retrieval meets Long Context Large Language Models

Reference 170

Resolution
verified exact
arxiv_id, observed 2026-05-24T05:13:56.489900Z

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=2026-05-24T05:10:25.171044Z digest=sha256:e81c56d824eec7906e523b686b6ad94d512274c15064f7b890a21c9d873e8045

Observation 601aa6e8-3481-4307-be3b-1e1346e039f3 · inbound

DENIAHL: In-Context Features Influence LLM Needle-In-A-Haystack Abilities cites this paper.

DENIAHL: In-Context Features Influence LLM Needle-In-A-Haystack Abilities Retrieval meets Long Context Large Language Models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-12T10:17:30.335936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:17:30.335936Z digest=sha256:0058d31afcfc41456ec1d2c39bf6f0424556e7da137e6ffbfbf1128c8f4d2def

Observation a3de5585-8e2e-4da4-835b-dad18524d55c · inbound

V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encoding cites this paper.

V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encoding Retrieval meets Long Context Large Language Models

Reference 138

Resolution
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no resolver link, observed 2026-08-11T16:58:03.566700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:58:03.566700Z digest=sha256:e3bc49fe546899dc5d95e0034b726854efaaaa0687e61c08de1a21ec0d66fc8b

Observation fe21a2f4-cbb9-481b-bf5c-6d4b21c769ec · inbound

Boosting Long-Context Management via Query-Guided Activation Refilling cites this paper.

Boosting Long-Context Management via Query-Guided Activation Refilling Retrieval meets Long Context Large Language Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-11T14:07:31.228551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:07:31.228551Z digest=sha256:51a16852296ab8ccc797d43943b636e5841547f84ab81232f5a8babee3638851

Observation 7efb8573-5fe5-4e5f-ac0e-e722ca1c2c83 · inbound

EvoWiki: Evaluating LLMs on Evolving Knowledge cites this paper.

EvoWiki: Evaluating LLMs on Evolving Knowledge Retrieval meets Long Context Large Language Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-11T13:04:20.237097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:04:20.237097Z digest=sha256:c59f9d02839e8a4696e82077479272e6c086945bc40e2c79b1c03ddfe054f962

Observation 9e6a23fc-90ef-4985-aefd-e759e369b5f7 · inbound

LIFT: Improving Long Context Understanding Through Long Input Fine-Tuning cites this paper.

LIFT: Improving Long Context Understanding Through Long Input Fine-Tuning Retrieval meets Long Context Large Language Models

Reference 17

Resolution
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no resolver link, observed 2026-08-11T13:00:31.141112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:00:31.141112Z digest=sha256:ff484a4d7dcee16cc0106557374263a8757075c1aa9e4fa478e6670935c2e704

Observation 17e391db-d66f-4f2f-9807-8fa02d80e2e5 · inbound

Debate Helps Weak-to-Strong Generalization cites this paper.

Debate Helps Weak-to-Strong Generalization Retrieval meets Long Context Large Language Models

Reference 55

Resolution
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no resolver link, observed 2026-08-10T17:50:56.507015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:50:56.507015Z digest=sha256:b85940642f8ade548dd99ee688c89a5a03b2681fb1df70b24fa6e5d942fb2630

Observation 80362f07-3ad1-4943-9598-4b6dc98b7b6a · inbound

K-COMP: Retrieval-Augmented Medical Domain Question Answering With Knowledge-Injected Compressor cites this paper.

K-COMP: Retrieval-Augmented Medical Domain Question Answering With Knowledge-Injected Compressor Retrieval meets Long Context Large Language Models

Reference 70

Resolution
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no resolver link, observed 2026-08-10T15:54:42.755759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:54:42.755759Z digest=sha256:d085d4918bccefbaed321335092952ca104f404ea8c84b3efac7d47d0da8c90d

Observation 8514f9ff-dbc3-48b1-b2b1-e7602e101da6 · inbound

Large Language Models for In-File Vulnerability Localization Can Be "Lost in the End" cites this paper.

Large Language Models for In-File Vulnerability Localization Can Be "Lost in the End" Retrieval meets Long Context Large Language Models

Reference 47

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no resolver link, observed 2026-08-08T17:26:43.573045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:26:43.573045Z digest=sha256:8309a6f545716959b12e1cd717c49aed4a4f2e0dea96a971b1360bf5219e4150

Observation 7f08bb78-7ff2-4f59-b467-5f0a08cf97ce · inbound

Repository-level Code Search with Neural Retrieval Methods cites this paper.

Repository-level Code Search with Neural Retrieval Methods Retrieval meets Long Context Large Language Models

Reference 24

Resolution
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no resolver link, observed 2026-08-08T13:58:16.441161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:58:16.441161Z digest=sha256:931d51149cca4cef6e28effa6051083680b8f620d2ed85dfc21570dc600fe518

Observation 93bb9818-0472-433d-8dd5-b8dd179da69b · inbound

RoToR: Towards More Reliable Responses for Order-Invariant Inputs cites this paper.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs Retrieval meets Long Context Large Language Models

Reference 36

Resolution
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no resolver link, observed 2026-08-08T16:11:43.245455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:11:43.245455Z digest=sha256:9928cf58c417f8311d091157184b0bfaaad4fc74db964624719d21025700d5ae

Observation a198b541-807f-4073-baa9-925cc26c7a05 · inbound

Overflow Prevention Enhances Long-Context Recurrent LLMs cites this paper.

Overflow Prevention Enhances Long-Context Recurrent LLMs Retrieval meets Long Context Large Language Models

Reference 67

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no resolver link, observed 2026-08-15T22:12:58.880191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:12:58.880191Z digest=sha256:bc9590d1b7c7caa12c82b334762739197898f103c7de04930e46ecebf0293423

Observation 8630ed76-fa34-4175-8f23-32f0a9229967 · inbound

SELF: Self-Extend the Context Length With Logistic Growth Function cites this paper.

SELF: Self-Extend the Context Length With Logistic Growth Function Retrieval meets Long Context Large Language Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T14:52:15.133661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:52:15.133661Z digest=sha256:ab47cadacfe3aca8ac19b974b43cd2d56554df785f612e27e3d1591ac90a3111

Observation 9d6080f2-1949-4bc6-9f7b-ade0e9f6c6fa · inbound

100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability? cites this paper.

100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability? Retrieval meets Long Context Large Language Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T14:20:26.529399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:20:26.529399Z digest=sha256:1a89f200be8ea5f92a7bf5056d911483be5f7d968d7ed341308178717da51e4e

Observation 32ecdd65-33a8-4424-9927-2ceaa5cd21da · inbound

Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings cites this paper.

Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings Retrieval meets Long Context Large Language Models

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:40.744965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:40.744965Z digest=sha256:189d34c27bf669dd4de7f9d8f77ef1b667072cd68eab1e9fc3c587553f2a45d8

Observation 8e5eaea8-3cec-4b11-aa09-8042adfb9792 · inbound

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation cites this paper.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation Retrieval meets Long Context Large Language Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T11:32:57.925313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:32:57.925313Z digest=sha256:86e2c7c3afad930e9f2e16bb8ad2a76c421e2afb8a21c02769308f85702fa851

Observation 56785ef9-37ba-433d-8bfc-7cc9266b1d39 · inbound

NovelHopQA: Diagnosing Multi-Hop Reasoning Failures in Long Narrative Contexts cites this paper.

NovelHopQA: Diagnosing Multi-Hop Reasoning Failures in Long Narrative Contexts Retrieval meets Long Context Large Language Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T15:31:44.407153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:31:44.407153Z digest=sha256:99259073265d1d5ccea23fd2d005ba98c12a6a43605e1d97b85d3240cd8b3260

Observation 665ca47e-c3e0-402d-b720-9b62b61f5ccf · inbound

Positional Biases Shift as Inputs Approach Context Window Limits cites this paper.

Positional Biases Shift as Inputs Approach Context Window Limits Retrieval meets Long Context Large Language Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-05T22:12:56.266377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:12:56.266377Z digest=sha256:7d3114a22ddaac9ecced3375f0e2878eba1cd8a959d31d19809ba309269cd1df

Observation 06c7eda9-2262-4433-8184-2f294ad925b0 · inbound

Exploratory Retrieval-Augmented Planning For Continual Embodied Instruction Following cites this paper.

Exploratory Retrieval-Augmented Planning For Continual Embodied Instruction Following Retrieval meets Long Context Large Language Models

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-04T21:06:12.142504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:06:12.142504Z digest=sha256:965a115af7ea8b7a2f2fbbe0b3156fb2d25ba26eb5867bfaa04b30da8e41da75

Observation 1d684203-772f-450d-8d16-bddffc363eff · inbound

Interfaze: The Future of AI is built on Task-Specific Small Models cites this paper.

Interfaze: The Future of AI is built on Task-Specific Small Models Retrieval meets Long Context Large Language Models

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-03T04:48:08.754072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:48:08.754072Z digest=sha256:671f5dc5d72a1d965627858b266f3203ec3721da6e94dd3570e88c358c9425a4

Observation 7db5881d-4e4f-4955-949e-84855d001a86 · inbound

AV-SQL: Decomposing Complex Text-to-SQL Queries with Agentic Views cites this paper.

AV-SQL: Decomposing Complex Text-to-SQL Queries with Agentic Views Retrieval meets Long Context Large Language Models

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:30:58.053435Z

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=2026-05-10T17:09:46.385340Z digest=sha256:70b9a8c5b3912956b0ec704d0dc19f31a59026ed091e4987dd751c2ada00d6f1

Observation 7a3a42c6-77e1-4065-afca-2a58cf4b1dad · inbound

Don't Stir the Pot! Authorized Vector Data Retrieval via Access-Aware Indexing cites this paper.

Don't Stir the Pot! Authorized Vector Data Retrieval via Access-Aware Indexing Retrieval meets Long Context Large Language Models

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:10:59.288059Z

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=2026-05-10T16:13:24.701615Z digest=sha256:09f22df1a3815575e7fa8a9202709317076d27b45f89dd5cfeb7bf79316a50cf

Observation 71a25729-1e8a-4f22-b461-5cc1de54ef08 · inbound

Don't Stir the Pot! Authorized Vector Data Retrieval via Access-Aware Indexing cites this paper.

Don't Stir the Pot! Authorized Vector Data Retrieval via Access-Aware Indexing Retrieval meets Long Context Large Language Models

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:38:01.201149Z

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=2026-05-14T21:33:06.260347Z digest=sha256:84a901012742488ad172c61ccd092d371f22c77f2aee17a0f12bc2298de444b5

Observation 53c44ffc-cae8-4cf2-8f5b-912038af0eae · inbound

Don't Stir the Pot! Authorized Vector Data Retrieval via Access-Aware Indexing cites this paper.

Don't Stir the Pot! Authorized Vector Data Retrieval via Access-Aware Indexing Retrieval meets Long Context Large Language Models

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-07-01T00:55:11.899277Z

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=2026-07-01T00:51:46.143673Z digest=sha256:2b4605240dd81c098cbe57aaa5205f0a71e77b9f949e7043da1bba4763f5865b

Observation 4a315c0f-a5f4-46dd-8f80-5ccd68e5281c · inbound

Fine-Tuning Small Language Models for Solution-Oriented Windows Event Log Analysis cites this paper.

Fine-Tuning Small Language Models for Solution-Oriented Windows Event Log Analysis Retrieval meets Long Context Large Language Models

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:21:13.385939Z

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=2026-05-08T09:15:08.555551Z digest=sha256:c15bd31687927f3cce08c1356e246db4fd01feaa1f396d3e1a85e1d3d94c72df

Observation 7573d722-7ced-4b23-a4aa-906052a598f0 · inbound

Beyond Summaries: Structure-Aware Labeling of Code Changes with Large Language Models cites this paper.

Beyond Summaries: Structure-Aware Labeling of Code Changes with Large Language Models Retrieval meets Long Context Large Language Models

Reference 19

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verified exact
arxiv_id, observed 2026-06-29T20:13:58.867438Z

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=2026-06-29T20:11:45.644494Z digest=sha256:ff61efb62e5670372fd0cb1af5a69c4bec553edb22c42915d4d9411c3f049281

Observation ef5cfeae-814c-480d-939d-4e868b2892f4 · inbound

Token Reduction Is Not Cost Reduction cites this paper.

Token Reduction Is Not Cost Reduction Retrieval meets Long Context Large Language Models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-02T06:45:15.304873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T06:45:15.304873Z digest=sha256:75a4779ceec619ba5cda441ae5265af78cff0eecf222372ba2e173934f2b6756

Observation ff6eb032-550e-4def-ab68-fc95e71acbb4 · inbound

Token Reduction Is Not Cost Reduction cites this paper.

Token Reduction Is Not Cost Reduction Retrieval meets Long Context Large Language Models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-04T04:23:32.338755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T04:23:32.338755Z digest=sha256:3d35580c38c9ca47d5c31b4a98f7883b1eb1bf6c3480b34ed5be499d7584d3f7

Observation 9c3024a4-a412-4cbc-afc5-5587e9070e3c · inbound

When Knowledge Changes: Metamorphic Testing of RAG Systems with Mutations cites this paper.

When Knowledge Changes: Metamorphic Testing of RAG Systems with Mutations Retrieval meets Long Context Large Language Models

Reference 20

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unresolved
no resolver link, observed 2026-07-30T19:28:01.888572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T19:28:01.888572Z digest=sha256:d51388a990db033bcb8c2926fa4b6c4f6058d6a0759fb5e3d5249b76a0fc35ad