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Paper Citation Record · LEDGER

Make Your LLM Fully Utilize the Context

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2404.16811.

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

pith.paper-citation-record.v1
2404.16811 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 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 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:26:43.347363Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

10
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b2787827-9229-45f5-ac35-fa52f5395b06 · inbound

LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory cites this paper.

LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory Make Your LLM Fully Utilize the Context

Reference 59

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T16:41:05.885122Z

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=2026-05-11T16:41:03.980064Z digest=sha256:903c13c4a76f62799cd1fdcd9959d8be3f581fa840a12b4793a5ee265923d77a

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

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

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

Resolution
unresolved
no resolver link, observed 2026-08-08T16:40:27.028439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Observation ee0cdbf4-1682-4d04-ac8d-6f9c71e53430 · 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" Make Your LLM Fully Utilize the Context

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-08T17:26:43.347363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:26:43.347363Z digest=sha256:f6155898908a56cc1fc1840686b2430686d0cabd7fa82378405b72bdc0cfd51e

Observation d2ad1d5b-dc84-4c39-a9cd-ad1eb99f49bb · inbound

Mitigating Posterior Salience Attenuation in Long-Context LLMs with Positional Contrastive Decoding cites this paper.

Mitigating Posterior Salience Attenuation in Long-Context LLMs with Positional Contrastive Decoding Make Your LLM Fully Utilize the Context

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:55.148150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:55.148150Z digest=sha256:a3eb7d9ab4d98e82829c1e9d137e9009220f7bf888c5f86f8d733cd1bb530a67

Observation be4c8281-aab6-4443-9fe8-833f65aec4fb · inbound

Evaluating and Improving Robustness in Large Language Models: A Survey and Future Directions cites this paper.

Evaluating and Improving Robustness in Large Language Models: A Survey and Future Directions Make Your LLM Fully Utilize the Context

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T05:42:30.776659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:42:30.776659Z digest=sha256:cae4899d5a556a08bf4c445874c00572d4a5feda4d477b709ec3b689b60f59bb

Observation 04b60450-bd91-4e17-859a-e1176c3ae38c · inbound

Personality Prediction from Life Stories using Language Models cites this paper.

Personality Prediction from Life Stories using Language Models Make Your LLM Fully Utilize the Context

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T23:11:26.240542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:11:26.240542Z digest=sha256:88715d4cbba9732620447c0625bfd66174b085a10ad38e1dbd6f988f2c6b844e

Observation a1245916-107a-4b13-a06d-3f20ee8f8d84 · inbound

LLM4MEA: Data-free Model Extraction Attacks on Sequential Recommenders via Large Language Models cites this paper.

LLM4MEA: Data-free Model Extraction Attacks on Sequential Recommenders via Large Language Models Make Your LLM Fully Utilize the Context

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T15:03:57.151657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:57.151657Z digest=sha256:ed02a7df32c4ed05db2b2bdc9bc8dff4636c040898d32530c115d76730e99711

Observation 5e827d4b-433e-4cc3-9b78-0d833fdcec46 · inbound

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences cites this paper.

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences Make Your LLM Fully Utilize the Context

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-18T16:41:38.005161Z

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=pdf_text observed=2026-05-18T16:39:03.794436Z digest=sha256:c30579cc52692395bd08d3237919e916c7db761694c39f05a20c419ab442d0ce

Observation 693c6de1-e8f7-4ed0-a8fe-8b69113394d3 · inbound

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences cites this paper.

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences Make Your LLM Fully Utilize the Context

Reference 34

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T16:41:37.568432Z

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=pdf_text observed=2026-05-18T16:39:03.794436Z digest=sha256:8994eecee597fb12fac6db744d836beb8c2374412412398c026f40c89d836fec

Observation 8538d804-5054-4551-b4d6-4de8fadce045 · inbound

BridgeEQA: Virtual Embodied Agents for Real Bridge Inspections cites this paper.

BridgeEQA: Virtual Embodied Agents for Real Bridge Inspections Make Your LLM Fully Utilize the Context

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T21:42:07.486409Z

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=pdf_text observed=2026-05-17T21:40:51.426489Z digest=sha256:16607860057e50b2d888928491cfbf045e5ce56b4937e7d710bb77d6d2e9b53c

Observation 6b2c0134-dfbf-40d5-a736-586b47f6352f · inbound

Context-Aware Dialectal Arabic Machine Translation with Interactive Region and Register Selection cites this paper.

Context-Aware Dialectal Arabic Machine Translation with Interactive Region and Register Selection Make Your LLM Fully Utilize the Context

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:30:52.631463Z

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=pdf_text observed=2026-05-10T19:03:03.350371Z digest=sha256:7710507cfd680dce8a48910440d03d29e95c18f03e0c505ef253602485f9755a

Observation 7bd29bfc-7bcb-4f19-97c1-c510d13c8936 · inbound

Creating and Evaluating K-12 GenAI Assessment Graders Through Context Engineering cites this paper.

Creating and Evaluating K-12 GenAI Assessment Graders Through Context Engineering Make Your LLM Fully Utilize the Context

Reference 241

Resolution
verified exact
arxiv_id, observed 2026-06-30T22:55:06.120579Z

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=2026-06-30T22:54:03.054871Z digest=sha256:bbac0c8fbc404ded369ac85f96cdd80cc6963c4430177e04c191e436ff755166

Observation 55153604-a7df-48ab-bcc0-77c11130affd · inbound

Mitigating Position Bias in Transformers via Layer-Specific Positional Embedding Scaling cites this paper.

Mitigating Position Bias in Transformers via Layer-Specific Positional Embedding Scaling Make Your LLM Fully Utilize the Context

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-06-29T19:03:51.894129Z

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=2026-06-29T04:59:00.304723Z digest=sha256:b204cbf5dba4f549afef37bd903840d26ce2a9452f9ac5c4dc13e21e0b2d1f9d