Paper Citation Record · LEDGER

Unlocking Context Constraints of LLMs: Enhancing Context Efficiency of LLMs with Self-Information-Based Content Filtering

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2304.12102.

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

pith.paper-citation-record.v1
2304.12102 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:36:44.121680Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T01:36:44.080909Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 2401385e-624a-4b07-bb2a-f0d84556d2ea · inbound

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions cites this paper.

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions Unlocking Context Constraints of LLMs: Enhancing Context Efficiency of LLMs with Self-Information-Based Content Filtering

Reference 183

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:46:27.713077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e863f0b8-a670-4ee6-b912-5633b7586610 · inbound

E2LLM: Encoder Elongated Large Language Models for Long-Context Understanding and Reasoning cites this paper.

E2LLM: Encoder Elongated Large Language Models for Long-Context Understanding and Reasoning Unlocking Context Constraints of LLMs: Enhancing Context Efficiency of LLMs with Self-Information-Based Content Filtering

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:38:25.022655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b5524e6f-b91a-4d5c-95aa-ec03d263ec37 · inbound

AI Governance through Markets cites this paper.

AI Governance through Markets Unlocking Context Constraints of LLMs: Enhancing Context Efficiency of LLMs with Self-Information-Based Content Filtering

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-10T04:36:44.121680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75f8879d-baf6-48e9-88ea-6cad2242bd82 · inbound

CODEPROMPTZIP: Code-specific Prompt Compression for Retrieval-Augmented Generation in Coding Tasks with LMs cites this paper.

CODEPROMPTZIP: Code-specific Prompt Compression for Retrieval-Augmented Generation in Coding Tasks with LMs Unlocking Context Constraints of LLMs: Enhancing Context Efficiency of LLMs with Self-Information-Based Content Filtering

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-23T02:02:23.032974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0b0fff9f-5832-4911-831d-4941465aa4df · inbound

Cartridges: Lightweight and general-purpose long context representations via self-study cites this paper.

Cartridges: Lightweight and general-purpose long context representations via self-study Unlocking Context Constraints of LLMs: Enhancing Context Efficiency of LLMs with Self-Information-Based Content Filtering

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T06:04:32.444470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 500c4f1e-7ab0-418c-a905-addc6a1e6c91 · inbound

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation cites this paper.

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation Unlocking Context Constraints of LLMs: Enhancing Context Efficiency of LLMs with Self-Information-Based Content Filtering

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:25.171534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6964f3f6-8b61-46a0-8e1f-85dc891f6cf5 · inbound

Characterizing Performance-Energy Trade-offs of Large Language Models in Multi-Request Workflows cites this paper.

Characterizing Performance-Energy Trade-offs of Large Language Models in Multi-Request Workflows Unlocking Context Constraints of LLMs: Enhancing Context Efficiency of LLMs with Self-Information-Based Content Filtering

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-15T12:30:00.262386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d2e730b7-3f21-4250-b924-785b117f926a · inbound

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories cites this paper.

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories Unlocking Context Constraints of LLMs: Enhancing Context Efficiency of LLMs with Self-Information-Based Content Filtering

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:26:26.698697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 36eed30b-5a4a-428c-9c24-46c169f9c403 · inbound

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories cites this paper.

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories Unlocking Context Constraints of LLMs: Enhancing Context Efficiency of LLMs with Self-Information-Based Content Filtering

Reference 59

Resolution: unresolved; no resolver link, observed 2026-07-13T07:44:25.325808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee14689d-981d-4a6d-947d-dc4dbe437367 · inbound

Dense Contexts Are Hard Contexts: Lexical Density Limits Effective Context in LLMs cites this paper.

Dense Contexts Are Hard Contexts: Lexical Density Limits Effective Context in LLMs Unlocking Context Constraints of LLMs: Enhancing Context Efficiency of LLMs with Self-Information-Based Content Filtering

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T12:36:56.805027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7f268744-b1c6-44f0-82da-07daaa78c18e · inbound

Decision-Aware Memory Cards: Counterfactual-Inspired Context Selection and Compression for Tool-Using LLM Agents cites this paper.

Decision-Aware Memory Cards: Counterfactual-Inspired Context Selection and Compression for Tool-Using LLM Agents Unlocking Context Constraints of LLMs: Enhancing Context Efficiency of LLMs with Self-Information-Based Content Filtering

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-07-02T21:27:24.258137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0c9478ef-c153-4410-903d-cc8a3e2418ee · inbound

Less Context, Better Agents: Efficient Context Engineering for Long-Horizon Tool-Using LLM Agents cites this paper.

Less Context, Better Agents: Efficient Context Engineering for Long-Horizon Tool-Using LLM Agents Unlocking Context Constraints of LLMs: Enhancing Context Efficiency of LLMs with Self-Information-Based Content Filtering

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-03T02:07:33.605480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ab12ca08-5482-4b6e-a574-64c8c55c7541 · inbound

Less is More: Lightweight Prompt Compression for Question Answering Applications on Edge Devices cites this paper.

Less is More: Lightweight Prompt Compression for Question Answering Applications on Edge Devices Unlocking Context Constraints of LLMs: Enhancing Context Efficiency of LLMs with Self-Information-Based Content Filtering

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-07-01T08:55:34.912387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b2bc5880-adbb-4a8e-a0e2-01c057f58252 · inbound

Mapping Text to Multiplex Graph: Prompt Compression as L\'evy Walk-Guided Graph Pruning cites this paper.

Mapping Text to Multiplex Graph: Prompt Compression as L\'evy Walk-Guided Graph Pruning Unlocking Context Constraints of LLMs: Enhancing Context Efficiency of LLMs with Self-Information-Based Content Filtering

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T01:49:21.527521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 007fe553-3098-4344-b90e-f6eb2df4023c · inbound

What to Keep, What to Forget: A Rate--Distortion View of Memory Compaction in LLMs and Agents cites this paper.

What to Keep, What to Forget: A Rate--Distortion View of Memory Compaction in LLMs and Agents Unlocking Context Constraints of LLMs: Enhancing Context Efficiency of LLMs with Self-Information-Based Content Filtering

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-07-10T01:36:44.082144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.