Pith. sign in

Paper Citation Record · LEDGER

Mitigate Position Bias in Large Language Models via Scaling a Single Dimension

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2406.02536.

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

pith.paper-citation-record.v1
2406.02536 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:05:54.700059Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T07:37:29.910673Z

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 a6f5c955-7f0a-4694-9f1e-4472331735d6 · inbound

SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception cites this paper.

SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception Mitigate Position Bias in Large Language Models via Scaling a Single Dimension

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T15:05:54.700059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:05:54.700059Z digest=sha256:1b13559675a21fba0afdab96f325e1108ad52c0332648fea8454cc33a82291e4

Observation 4373a058-2648-4b5f-bd9a-a15bda9c8587 · inbound

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering cites this paper.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Mitigate Position Bias in Large Language Models via Scaling a Single Dimension

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-06T17:43:53.931934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:43:53.931934Z digest=sha256:eaa33a892ad0a4d7ab5ad072d4b958ce76184dd876c65d42317f2eb9a1f141c7

Observation 9593e14d-8783-40aa-9fc9-42ee3c6a05ae · inbound

The Chameleon Nature of LLMs: Quantifying Multi-Turn Stance Instability in Search-Enabled Language Models cites this paper.

The Chameleon Nature of LLMs: Quantifying Multi-Turn Stance Instability in Search-Enabled Language Models Mitigate Position Bias in Large Language Models via Scaling a Single Dimension

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-04T09:15:49.514172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:15:49.514172Z digest=sha256:45f0fff885817a0215698360804302a6646655b79e8ff491690bb1bb788e41fe

Observation a2df31ba-711c-44cc-81ea-8f283523a746 · inbound

Saliency-R1: Enforcing Interpretable and Faithful Vision-language Reasoning via Saliency-map Alignment Reward cites this paper.

Saliency-R1: Enforcing Interpretable and Faithful Vision-language Reasoning via Saliency-map Alignment Reward Mitigate Position Bias in Large Language Models via Scaling a Single Dimension

Reference 85

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:20:47.810089Z

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=2026-05-10T19:59:19.379119Z digest=sha256:ea4290a2019f879193a865999090c35f972678b4fa653611aab09d131c71ec8a

Observation 6afce0b3-c0fe-4fe3-bf46-7497ae0cfe1c · 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 Mitigate Position Bias in Large Language Models via Scaling a Single Dimension

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-13T01:27:01.728422Z

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=2026-05-13T01:26:45.182597Z digest=sha256:a1037a9365a3828dcabdd453deb49c72a5151677e511e0f3b7267c69c2284d99

Observation fefbe4fd-a195-47d1-b00c-f0533076146c · inbound

Towards Order Fairness: Mitigating LLMs Order Sensitivity through Dual Group Advantage Optimization cites this paper.

Towards Order Fairness: Mitigating LLMs Order Sensitivity through Dual Group Advantage Optimization Mitigate Position Bias in Large Language Models via Scaling a Single Dimension

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-13T07:37:29.913435Z

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=2026-05-13T07:32:58.404947Z digest=sha256:00732afc5ac39d7739f8a0e50870258aa8d921f54d9753c0cd3c57dacb899b3c

Observation 1af0762d-d4f5-4aba-ac3c-29ea1ab71521 · inbound

Semantically Similar, Logically Distinct: Diagnosing the Semantic-Answerability Gap in Table RAG cites this paper.

Semantically Similar, Logically Distinct: Diagnosing the Semantic-Answerability Gap in Table RAG Mitigate Position Bias in Large Language Models via Scaling a Single Dimension

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-01T17:09:46.563906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:09:46.563906Z digest=sha256:85fa67a1ad7a972c0fb64ba2fd3d49a73a0b5bc1aacafab4263932b2fa7d5b27

Observation 576848f4-0436-46b7-99d0-e28bbb0eb83f · inbound

MARS-RA: Rank Aggregation for Credit Assignment via Multimodal Comparisons in Embodied Multi-Agent Cooperation cites this paper.

MARS-RA: Rank Aggregation for Credit Assignment via Multimodal Comparisons in Embodied Multi-Agent Cooperation Mitigate Position Bias in Large Language Models via Scaling a Single Dimension

Reference 96

Resolution
unresolved
no resolver link, observed 2026-07-31T21:55:17.462477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T21:55:17.462477Z digest=sha256:4c8c2c9bd1b5e75bd3bf3d314e499b51314b0cfff626d7a48f0689b0be10fa96