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Paper Citation Record · LEDGER

Attention Sorting Combats Recency Bias In Long Context Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2310.01427.

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

pith.paper-citation-record.v1
2310.01427 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 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 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:20:55.238227Z

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

4
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 a57fd5fa-94b4-42e4-b50d-aa8118b3c7d7 · inbound

Through the Stealth Lens: Attention-Aware Defenses Against Poisoning in RAG cites this paper.

Through the Stealth Lens: Attention-Aware Defenses Against Poisoning in RAG Attention Sorting Combats Recency Bias In Long Context Language Models

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-25T08:15:34.231934Z

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=2026-05-25T08:10:31.473565Z digest=sha256:b3c11ba3d09715bbeba0686873d9ba9e0c5e7a8a82089b445cd779f537229f62

Observation b3e08c86-2167-4280-b2fc-33853774e7f6 · 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 Attention Sorting Combats Recency Bias In Long Context Language Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:55.238227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:55.238227Z digest=sha256:153d38eba4f1e450d5cb9ccc1ff8366ce19a5bc7171f6afa272b456491247a97

Observation 3ddd3bfb-45d9-4221-b876-59495db010dd · inbound

Beyond Isolated Capabilities: Bridging Long CoT Reasoning and Long-Context Understanding cites this paper.

Beyond Isolated Capabilities: Bridging Long CoT Reasoning and Long-Context Understanding Attention Sorting Combats Recency Bias In Long Context Language Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T15:50:51.205541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:50:51.205541Z digest=sha256:a889d68049fa79b3dbb9bfebb7bdb76a69eeb7e1f8a7ac9cf866bb95dad3244d

Observation 9c23365c-5767-488d-b54e-4da50846cf8e · inbound

SinkTrack: Attention Sink based Context Anchoring for Large Language Models cites this paper.

SinkTrack: Attention Sink based Context Anchoring for Large Language Models Attention Sorting Combats Recency Bias In Long Context Language Models

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:51:01.099347Z

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=2026-05-10T15:46:44.996260Z digest=sha256:3df517c0fe438d5bfbb814418809f983b0b9d8f5c68a1062f1867be04c4f3f0a

Observation 197824ca-fbb1-4569-b467-120afb0b3932 · inbound

SinkTrack: Attention Sink based Context Anchoring for Large Language Models cites this paper.

SinkTrack: Attention Sink based Context Anchoring for Large Language Models Attention Sorting Combats Recency Bias In Long Context Language Models

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-21T01:39:22.657396Z

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=2026-05-21T01:37:33.760985Z digest=sha256:bd4754da90a18973455672bad9f21d4b85dda975346458f1802c0153157e7662

Observation 4a004327-3331-4d1c-baeb-d5cbdb2d782b · inbound

HeadRank: Decoding-Free Passage Reranking via Preference-Aligned Attention Heads cites this paper.

HeadRank: Decoding-Free Passage Reranking via Preference-Aligned Attention Heads Attention Sorting Combats Recency Bias In Long Context Language Models

Reference 47

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T06:36:36.283159Z

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=2026-05-10T06:36:22.111810Z digest=sha256:95991d518df279e8fc309c751a7a4d96d72a818434ce3a6c0d994d2e9307ffbb

Observation b3206db7-48ee-48a4-8732-c4ad3b9ffb2c · inbound

LLM-Oriented Information Retrieval: A Denoising-First Perspective cites this paper.

LLM-Oriented Information Retrieval: A Denoising-First Perspective Attention Sorting Combats Recency Bias In Long Context Language Models

Reference 148

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T16:01:19.759856Z

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=2026-05-09T18:54:06.144968Z digest=sha256:5ee287ed643b22ef95bf4bdbb95917b87d24e72e2c77ec6664f19765494a343d

Observation 8ac642c5-c25c-4027-9b23-84df83ac7435 · inbound

LLM-Oriented Information Retrieval: A Denoising-First Perspective cites this paper.

LLM-Oriented Information Retrieval: A Denoising-First Perspective Attention Sorting Combats Recency Bias In Long Context Language Models

Reference 151

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T00:19:16.565325Z

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=2026-05-21T00:18:32.423103Z digest=sha256:cc750052537b71e7a1838455f0756778d21a12885dadf5d2bad24c54e6e71817

Observation f623173c-c8dc-4393-bfab-4ab57cb90308 · inbound

In-Context Fixation: When Demonstrated Labels Override Semantics in Few-Shot Classification cites this paper.

In-Context Fixation: When Demonstrated Labels Override Semantics in Few-Shot Classification Attention Sorting Combats Recency Bias In Long Context Language Models

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-12T01:46:14.047788Z

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=2026-05-12T01:43:23.458204Z digest=sha256:d86469ed4a662947d31e26a7a67e07f1adc9ff6e9f66cd62b53ea294285bb266

Observation e2efa6f5-67bc-443f-be63-09e81b7c8a48 · inbound

Interpretability Can Be Actionable cites this paper.

Interpretability Can Be Actionable Attention Sorting Combats Recency Bias In Long Context Language Models

Reference 161

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T06:17:23.276217Z

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=2026-05-13T06:12:51.656452Z digest=sha256:51aab7b50097d7259f51d117669fc6344f14a68b39af3156a3e5fbfa3ab68ce2

Observation ae0f73c9-288f-4921-ae65-e3c1ad8f8ec6 · inbound

Logit-Attention Divergence: Mitigating Position Bias in Multi-Image Retrieval via Attention-Guided Calibration cites this paper.

Logit-Attention Divergence: Mitigating Position Bias in Multi-Image Retrieval via Attention-Guided Calibration Attention Sorting Combats Recency Bias In Long Context Language Models

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-13T01:27:01.739792Z

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=2026-05-13T01:26:45.182597Z digest=sha256:09ab562bb17a25bbf3fda53b183c7e0521df4bfc9df379c8d5262ac48cf20d20

Observation 5b1b62e8-fab8-4794-95f4-e6a845de78cd · 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 Attention Sorting Combats Recency Bias In Long Context Language Models

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T19:03:51.857210Z

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=2026-06-29T04:59:00.304723Z digest=sha256:6771778396566a7a71402dbc49d136943a5afb415297c47e5043be35d930ce0a

Observation 04111065-d3eb-45ac-bc5b-7c9f58285604 · inbound

The Interference Gap: Comparing Retrieval Bounds in Human Memory and RAG Systems cites this paper.

The Interference Gap: Comparing Retrieval Bounds in Human Memory and RAG Systems Attention Sorting Combats Recency Bias In Long Context Language Models

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T23:15:07.172958Z

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=2026-06-30T23:13:01.805399Z digest=sha256:8beb7d67418ca1fbebcfa75b9c4ee2b0d6999bc2f2addca905132a178b6b8743

Observation 7305000b-fb0c-4337-8bca-706ee173b1c4 · inbound

FinPersona-Bench: A Benchmark for Longitudinal Psychometric Stability of Autonomous Financial Agents cites this paper.

FinPersona-Bench: A Benchmark for Longitudinal Psychometric Stability of Autonomous Financial Agents Attention Sorting Combats Recency Bias In Long Context Language Models

Reference 53

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T10:15:44.377212Z

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=2026-07-01T05:43:15.609688Z digest=sha256:4cea28d19cddd1e3b8d9fc0eea010953f11e6c67dda6a4fa00cb135d789f9531

Observation 3ab71bdf-25b6-4fe2-bed7-9066f382ab6a · inbound

FinPersona-Bench: A Benchmark for Longitudinal Psychometric Stability of Autonomous Financial Agents cites this paper.

FinPersona-Bench: A Benchmark for Longitudinal Psychometric Stability of Autonomous Financial Agents Attention Sorting Combats Recency Bias In Long Context Language Models

Reference 53

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T19:57:19.167144Z

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=2026-07-02T19:50:44.572379Z digest=sha256:664d6cfc6f58450a955f7426809cb23d956d154d40da44f260d15b3ad2f1985b

Observation 89c6be0a-a819-45fb-a1f1-0eb44feb8606 · inbound

Evidence Interfaces Shape How Retrieval-Augmented Readers Use Support cites this paper.

Evidence Interfaces Shape How Retrieval-Augmented Readers Use Support Attention Sorting Combats Recency Bias In Long Context Language Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-01T19:03:39.324244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T19:03:39.324244Z digest=sha256:a63672e35e9eb6679cb6a0f9fbcc5b637175378a91df7442097da48d5462734e

Observation 71e17f80-eef7-4b54-883c-0870f14a2bd1 · inbound

LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning cites this paper.

LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning Attention Sorting Combats Recency Bias In Long Context Language Models

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-02T12:48:53.412466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T12:48:53.412466Z digest=sha256:888065e3a8847dbe9c4d381cce37e29c84e561c8f595daed7c0df15b87288c1a