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Paper Citation Record · LEDGER

Adaptive Repetition for Mitigating Position Bias in LLM-Based Ranking

As of 8 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2507.17788.

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

pith.paper-citation-record.v1
2507.17788 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:56:03.533684Z

measured 23 of 23 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

23 of 23 outbound references displayed

  • verified exact0
  • verified fuzzy4
  • unresolved18
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1a200616-6228-4a03-a1ee-4fe5f100a1a2 · outbound

This paper cites MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark.

Adaptive Repetition for Mitigating Position Bias in LLM-Based Ranking MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T14:56:03.479513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:56:03.479513Z digest=sha256:9dfedc5664a9d255220c88b81cc604a97dccac51bb3d3eb5a0608d854b95c5f9

Observation 24588a48-a20b-43bd-93d0-69eb5936f217 · outbound

This paper cites https://huggingface.co/datasets/jondurbin/ truthy-dpo-v0.1/tree/main (2023), accessed: 17-Feb-2025.

Adaptive Repetition for Mitigating Position Bias in LLM-Based Ranking https://huggingface.co/datasets/jondurbin/ truthy-dpo-v0.1/tree/main (2023), accessed: 17-Feb-2025

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:56:04.314177Z

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=2026-08-06T14:56:03.482850Z digest=sha256:c20b3b27a6910310592a48f5c7edb659f7af5582d148475db83576d4985a014e

Observation 98b36b00-816c-443a-91cc-3128e9ee05e5 · outbound

This paper cites https://huggingface.co/datasets/jondurbin/ py-dpo-v0.1/tree/main (2024), accessed: 17-Feb-2025.

Adaptive Repetition for Mitigating Position Bias in LLM-Based Ranking https://huggingface.co/datasets/jondurbin/ py-dpo-v0.1/tree/main (2024), accessed: 17-Feb-2025

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:56:04.306971Z

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=2026-08-06T14:56:03.485335Z digest=sha256:41458dd7f1ebd5f224ec7d7af18cb606ea35998a3aeb87238fa83bf2e44feab9

Observation 945ec713-2b70-4733-bcd5-d93f0eaf9714 · outbound

This paper cites A Survey on LLM-as-a-Judge.

Adaptive Repetition for Mitigating Position Bias in LLM-Based Ranking A Survey on LLM-as-a-Judge

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T14:56:03.487585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:56:03.487585Z digest=sha256:21b14a32e612db1449859dd2a31d3b4e34c7aa4845f4f67d3823feed48a2c93c

Observation 1db33c4b-bda8-42f6-ab92-6b31cf7a28f5 · outbound

This paper cites Bias in Large Language Models: Origin, Evaluation, and Mitigation.

Adaptive Repetition for Mitigating Position Bias in LLM-Based Ranking Bias in Large Language Models: Origin, Evaluation, and Mitigation

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T14:56:03.490434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:56:03.490434Z digest=sha256:030d9925fc164f7e820c3a1eb3bc11fc9caec9dcc8aa79ea2b7dd041a073ed02

Observation f4741e60-494b-460f-9a6c-cacf3daa998c · outbound

This paper cites an unresolved cited work.

Adaptive Repetition for Mitigating Position Bias in LLM-Based Ranking Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T14:56:03.493113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:56:03.493113Z digest=sha256:89fdd2cb914fba0150c0da76c1a6f73c5930b086d01d077a22d56d0e5c22d408

Observation 493e493a-b2a1-405b-a3b9-dcb7258711bf · outbound

This paper cites CalibraEval: Calibrating Prediction Distribution to Mitigate Selection Bias in LLMs-as-Judges.

Adaptive Repetition for Mitigating Position Bias in LLM-Based Ranking CalibraEval: Calibrating Prediction Distribution to Mitigate Selection Bias in LLMs-as-Judges

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T14:56:03.495617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:56:03.495617Z digest=sha256:467a8db66a6cd48cd4c17ad104285e9c299147cc02127fab04a36799fa2df7f9

Observation db2b2dd5-52a1-4cf4-b6a8-391d94530df0 · outbound

This paper cites Generative Judge for Evaluating Alignment.

Adaptive Repetition for Mitigating Position Bias in LLM-Based Ranking Generative Judge for Evaluating Alignment

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T14:56:03.498080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:56:03.498080Z digest=sha256:adfff153a8bebeee7a8b9c46cde3485caf89b1b14a1700b52f5843b6cb1a2e41

Observation b986282c-c64c-4dbb-94ab-c1762f3aecce · outbound

This paper cites In: Proceedings of the 2024 Con- ference on Empirical Methods in Natural Language Processing.

Adaptive Repetition for Mitigating Position Bias in LLM-Based Ranking In: Proceedings of the 2024 Con- ference on Empirical Methods in Natural Language Processing

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:56:04.299984Z

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=2026-08-06T14:56:03.500719Z digest=sha256:ba4fa8e397ba146dbf47e7e63573141de05c39801d66e7774dfe6132b018c4e8

Observation ccc98c7c-503e-4173-8e52-691a0c29e0e3 · outbound

This paper cites https://huggingface.co/datasets/yleo/ emerton_dpo_pairs_judge/tree/main (2024), accessed: 17-Feb-2025.

Adaptive Repetition for Mitigating Position Bias in LLM-Based Ranking https://huggingface.co/datasets/yleo/ emerton_dpo_pairs_judge/tree/main (2024), accessed: 17-Feb-2025

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:56:04.291491Z

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=2026-08-06T14:56:03.502875Z digest=sha256:f5adf8f37187540378fd32748c63674fa94ca4a076d7ccc08df2062da9f8fbc8

Observation fee3248b-b3d9-42f1-a25b-dd6965e975d5 · outbound

This paper cites Orca: Progressive Learning from Complex Explanation Traces of GPT-4.

Adaptive Repetition for Mitigating Position Bias in LLM-Based Ranking Orca: Progressive Learning from Complex Explanation Traces of GPT-4

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T14:56:03.505409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:56:03.505409Z digest=sha256:f143f4960688a5f7afe190e9cf07c6b413e8b0c407de4caa887545557f4b8e19

Observation dc5446d4-a60f-4f30-b64f-40194141cc8b · outbound

This paper cites an unresolved cited work.

Adaptive Repetition for Mitigating Position Bias in LLM-Based Ranking Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:56:04.282753Z

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=2026-08-06T14:56:03.507841Z digest=sha256:84f722643f89c56d9bdb40be5140011af24129c6630b630c3a5f390b9d344e8e

Observation b2f3420b-8e1f-4e60-8000-6924c73c8f6f · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

Adaptive Repetition for Mitigating Position Bias in LLM-Based Ranking Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T14:56:03.510115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:56:03.510115Z digest=sha256:a60316672f87c1ae5737a80741063357b9527fdd7cb1d96337ad9d9175fd16c1

Observation 44c2033e-480a-40bd-a8a3-b40a7d002e56 · outbound

This paper cites Leveraging Large Language Models for Multiple Choice Question Answering.

Adaptive Repetition for Mitigating Position Bias in LLM-Based Ranking Leveraging Large Language Models for Multiple Choice Question Answering

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T14:56:03.512819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:56:03.512819Z digest=sha256:06211a5b0c4bbab0abde4bced2e7863693db8e26eb4da84670f71339427f646d

Observation b4ebd4c4-a4e4-48f7-af06-95166b9d9876 · outbound

This paper cites an unresolved cited work.

Adaptive Repetition for Mitigating Position Bias in LLM-Based Ranking Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:56:04.275804Z

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=2026-08-06T14:56:03.515455Z digest=sha256:5dd69342ee99495349e96394722f853bfc11329c720cab475f326e5d80378a8e

Observation 0f992b7f-f80b-46d1-9d66-acc0568de304 · outbound

This paper cites In: Bouamor, H., Pino, J., Bali, K.

Adaptive Repetition for Mitigating Position Bias in LLM-Based Ranking In: Bouamor, H., Pino, J., Bali, K

Reference 16

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T14:56:04.268755Z

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=2026-08-06T14:56:03.517492Z digest=sha256:7a96460a2ae6fc2b1c4f522281ba44d54eda7c504e83f5229d42156edef68c21

Observation 0372200c-41ab-4ba5-92c3-be569dd8b353 · outbound

This paper cites Large Language Models are not Fair Evaluators.

Adaptive Repetition for Mitigating Position Bias in LLM-Based Ranking Large Language Models are not Fair Evaluators

Reference 17

Resolution
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no resolver link, observed 2026-08-06T14:56:03.519683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:56:03.519683Z digest=sha256:cee4c9184a28c7f307c382587584e13138c8739289eadf77ea9210db9090671b

Observation 173426a1-ded7-4ffe-a6ba-06c5771be668 · outbound

This paper cites Eliminating Position Bias of Language Models: A Mechanistic Approach.

Adaptive Repetition for Mitigating Position Bias in LLM-Based Ranking Eliminating Position Bias of Language Models: A Mechanistic Approach

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T14:56:03.521953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:56:03.521953Z digest=sha256:48a0cc5ae8236a63ba982dd413da0d107b4c3c1f47a3bfca5c77b3d85e00f802

Observation 80a3982a-5db5-46ee-b55d-37c55aa1a233 · outbound

This paper cites Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs.

Adaptive Repetition for Mitigating Position Bias in LLM-Based Ranking Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T14:56:03.524403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:56:03.524403Z digest=sha256:ab60c2e6757946695f7da1c539e590045e0a73c54b96cb2213ed2d532982edf2

Observation ac285687-629b-41c0-9cb6-37f720f15f6c · outbound

This paper cites Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge.

Adaptive Repetition for Mitigating Position Bias in LLM-Based Ranking Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T14:56:03.526752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:56:03.526752Z digest=sha256:7a7c73f8a080d26f8ba828877ee1cf8a588986733b6a9fbd2f1447483a3dd547

Observation f65cc928-a7fa-448c-b5f4-2a53b47a4074 · outbound

This paper cites Large Language Models Are Not Robust Multiple Choice Selectors.

Adaptive Repetition for Mitigating Position Bias in LLM-Based Ranking Large Language Models Are Not Robust Multiple Choice Selectors

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T14:56:03.529232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:56:03.529232Z digest=sha256:f5fa33185e13c1887bbabf781ba388646fb98b7d643432c80631da608a8a5092

Observation 82035dee-f2eb-4cf1-93c7-52b08bd629f9 · outbound

This paper cites an unresolved cited work.

Adaptive Repetition for Mitigating Position Bias in LLM-Based Ranking Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:56:04.261404Z

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=2026-08-06T14:56:03.531610Z digest=sha256:86347922c1e4102e9d111aef0d7dcc91fa23b5d2c5395236637a210981b8fbbb

Observation 3528884a-9f64-47af-b5f1-6efd5a59aba9 · outbound

This paper cites JudgeLM: Fine-tuned Large Language Models are Scalable Judges.

Adaptive Repetition for Mitigating Position Bias in LLM-Based Ranking JudgeLM: Fine-tuned Large Language Models are Scalable Judges

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T14:56:03.533684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:56:03.533684Z digest=sha256:afacbc1378c16f7bbe44428030291c30e8a9b550398f36d2b346152c45b28bb5

Pith citing papers

No inbound Pith citation observations are available.