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Paper Citation Record · LEDGER

Needle in the Haystack for Memory Based Large Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2407.01437.

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

pith.paper-citation-record.v1
2407.01437 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:45:44.733775Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T21:53:59.208885Z

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 eb65a536-9081-4a58-b923-e1eaef96844c · inbound

Evaluating the Sensitivity of LLMs to Prior Context cites this paper.

Evaluating the Sensitivity of LLMs to Prior Context Needle in the Haystack for Memory Based Large Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:44.733775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:44.733775Z digest=sha256:56e33f9b84fb7fe2730ee844e79232cfff882a6774803fecb2fb9a65d182eb50

Observation af100c43-3815-4d90-a3df-597d7498c86d · inbound

SCOPE: Stochastic and Counterbiased Option Placement for Evaluating Large Language Models cites this paper.

SCOPE: Stochastic and Counterbiased Option Placement for Evaluating Large Language Models Needle in the Haystack for Memory Based Large Language Models

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-06T14:45:42.754635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:42.754635Z digest=sha256:52e9c9ef63398f912d48d4e7de6ac867591b7c531fad2f968798cf3776747ae6

Observation b2e14ac2-2e99-4398-825a-d7b0db6ed4c1 · inbound

Assessing Consciousness-Related Behaviors in Large Language Models Using the Maze Test cites this paper.

Assessing Consciousness-Related Behaviors in Large Language Models Using the Maze Test Needle in the Haystack for Memory Based Large Language Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-05T17:28:36.101445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:28:36.101445Z digest=sha256:6c685bf468f3aa4ca5aacbdf51fffb8a4ef4a7974656cc071ec9dd50db1f59b9

Observation ab257ea7-ec9f-4d31-9354-ee63024834ad · inbound

Video-LevelGauge: Investigating Contextual Positional Bias in Large Video Language Models cites this paper.

Video-LevelGauge: Investigating Contextual Positional Bias in Large Video Language Models Needle in the Haystack for Memory Based Large Language Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-05T15:40:40.464235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:40:40.464235Z digest=sha256:de120540ff9023c7f564956ab0015a35b884addcdeda951d073353a637928937

Observation 0d2b5fe2-a6c7-4c36-bae2-a5637c100f32 · inbound

Beyond the Final Answer: Evaluating the Reasoning Trajectories of Tool-Augmented Agents cites this paper.

Beyond the Final Answer: Evaluating the Reasoning Trajectories of Tool-Augmented Agents Needle in the Haystack for Memory Based Large Language Models

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-18T11:06:17.786276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T11:02:55.529271Z digest=sha256:1c0c65a905826c4244a5d25b8ffaa6104116295b74edcbe9d563458aa8005e84

Observation 81ff88b3-0749-4774-9244-67f049ea0d06 · inbound

Beyond the Final Answer: Evaluating the Reasoning Trajectories of Tool-Augmented Agents cites this paper.

Beyond the Final Answer: Evaluating the Reasoning Trajectories of Tool-Augmented Agents Needle in the Haystack for Memory Based Large Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-04T12:44:12.832186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T12:44:12.832186Z digest=sha256:ae0e1971371b8ebaede150370dec455d28e3eaab175ef76d2a1e8ff4f8b488c5

Observation 9b25ebb8-b54c-4cc2-9628-285a13181228 · inbound

M$^2$RNN: Non-Linear RNNs with Matrix-Valued States for Scalable Language Modeling cites this paper.

M$^2$RNN: Non-Linear RNNs with Matrix-Valued States for Scalable Language Modeling Needle in the Haystack for Memory Based Large Language Models

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:39:59.242343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T11:35:43.088803Z digest=sha256:e5c5b650c52802b020485d53106c914868b61c416673cea91b2e6678967fdd36

Observation 96baed40-36cf-4a75-a91c-550aef61d1c0 · inbound

Can an Actor-Critic Optimization Framework Improve Analog Design? cites this paper.

Can an Actor-Critic Optimization Framework Improve Analog Design? Needle in the Haystack for Memory Based Large Language Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-02T17:31:27.915472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T17:31:27.915472Z digest=sha256:88b0ecfd3b79b2dded1b3e45e4e423d9167e9f6854f9ca4b9dc35f71ca31e127

Observation 0eb50ebe-f495-436f-a1ea-d97e961ae4ab · inbound

Benchmarking EngGPT2-16B-A3B against Comparable Italian and International Open-source LLMs cites this paper.

Benchmarking EngGPT2-16B-A3B against Comparable Italian and International Open-source LLMs Needle in the Haystack for Memory Based Large Language Models

Reference 90

Resolution
malformed identifier
arxiv_id, observed 2026-05-11T03:40:53.388327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-11T03:40:04.692279Z digest=sha256:625ca941c35507ee6fc7d6b1da076be4154087395e342e585b0504f07f3de684

Observation 739a7e8c-da03-4374-ae72-899b1ad468c4 · inbound

Benchmarking EngGPT2-16B-A3B against Comparable Italian and International Open-source LLMs cites this paper.

Benchmarking EngGPT2-16B-A3B against Comparable Italian and International Open-source LLMs Needle in the Haystack for Memory Based Large Language Models

Reference 90

Resolution
malformed identifier
arxiv_id, observed 2026-05-21T08:19:52.972188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-21T08:14:55.858466Z digest=sha256:d910914d76ce0784245300ca20ec6c868b4fade175aa26008152cba36dc35f51

Observation 7db483bd-fb78-4e24-a31b-c620557d56ce · inbound

From Facts to Insights: A Persona-Driven Dual Memory Framework and Dataset for Role-Playing Agents cites this paper.

From Facts to Insights: A Persona-Driven Dual Memory Framework and Dataset for Role-Playing Agents Needle in the Haystack for Memory Based Large Language Models

Reference 81

Resolution
verified exact
arxiv_id, observed 2026-06-29T21:53:59.210107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-29T21:51:35.378857Z digest=sha256:33883c8dd43f6138adddba8e5e2d5638f3f994b11efc4967c6815d07845754dd

Observation b929c2d3-d400-4091-9322-1bb5b6ff5157 · inbound

MemFail: Stress-Testing Failure Modes of LLM Memory Systems cites this paper.

MemFail: Stress-Testing Failure Modes of LLM Memory Systems Needle in the Haystack for Memory Based Large Language Models

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T18:13:48.530324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T18:09:45.258817Z digest=sha256:46a9b83c014e252adb2c73cdc9ea227b1d264bb5755aaee206e76f8d510cd428