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Paper Citation Record · LEDGER

Make Your LLM Fully Utilize the Context

As of 9 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-11T16:41:03.980064Z digest=sha256:ff39c72856368c9c657cc42b8c84f4dc85fa0554cfbe632401a7fc8893a3762c

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:fcafee359e06217bbac5983c3f5dd9530b47abf81ce86b379e799d22ab124888

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=sha256:7b8bda4d11c8e8d29d65a661998d1fadeecba3ff67fbaa60b3882fc18f2a6347

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=sha256:8d50a3d2243abb9e3864679d5a7e850d8bc3b093a362f80ff3f06d93a287d9f6

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=sha256:9f0b970ef3b271fe9dd41b6a0367791209e6049d59791cd165c5bd86a8f28c0a

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=sha256:7d09991cc2d11258a1f606d5adb1c56864eb92cdfcc79273f3dc2a6c7a2101ef

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=sha256:660e4c5868fc7ab301bba764b29cc6844b4c741d4af17708f96657dbc82cee98

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T16:39:03.794436Z digest=sha256:9c8b6251ec202bb3b72e945106681b596e60dc5298d402f3712054e3463d355a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T16:39:03.794436Z digest=sha256:993d797d69ad072b72ba2183290c5ba67f542246ede1ada9e85b3549973fe066

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-17T21:40:51.426489Z digest=sha256:645db98a52ae90d6b394b50791d3078211f3ff538fd4584660c24a144d4155d1

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T19:03:03.350371Z digest=sha256:abba7f76b644d36b9f49b2df2aa5ae854134f06873806dad50b1ae8f2e376b0b

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-30T22:54:03.054871Z digest=sha256:4db94420e7c51d480a0877fe092c0448c43816b241660cc28f2db474cad3b3d0

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-29T04:59:00.304723Z digest=sha256:89b42807087cd6378fc6c24526bf072fbad31c6cac9c0322841355aa0bfadb57