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Paper Citation Record · LEDGER

Adaptive Repetition for Mitigating Position Bias in LLM-Based Ranking

As of 19 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 2026-08-19T06:32:44.657259+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=sha256:6e555d22b0d1c4d2609f19eb22291804860a2ced42acf0332599249a7c07fcdc

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T14:56:03.482850Z digest=sha256:c2f1b831a1fbd73064d914ddd08ee8820188b6a7338a8891575f754cfb033ad6

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T14:56:03.485335Z digest=sha256:5d8c4007fe30d465a0c3ea238bb6aaeff4514319f49015e3e738d53863f766ad

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:a1b18cb8a237d3921fb8f89c220dfecb79220f86e8a0a954596868ab92d3688d

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=sha256:9543412b79e74d4c6e24375b8a127dd8eb6fb1396ceb3050bdbc1fb75df906d4

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:ca59485645d925e0f2b444e05ed8d92f9ad5b3a8fd0bb26c80dacf27011d5a53

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=sha256:0cf4955f831f932e02783b735067a5b8ef04201e9ad46b319ec1edab206a9458

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=sha256:30bbcce74370566ff81b1d911274983aedaa6570b22d32e3a4adc2b0bcba7df8

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T14:56:03.500719Z digest=sha256:2f5301b7801d6c6c350ac945d5f007d5e9d44704ab8714dbfbc15ac41342ea34

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T14:56:03.502875Z digest=sha256:2838761318f7667bbe438e81ceab8dbf399225df1c51f6b5603ec2fde57cf930

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=sha256:5153439209e416699482c9aa9630fed0438509f5fd9afaae26a47712821ce847

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T14:56:03.507841Z digest=sha256:1efe2889d366564a4bbae6fdaac7ed7ff781d32576ca7b7a1102ee60e97b975f

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:bd72f0e70935f810bbd6d3479d4020f3d18e6b7e0486fcdb6a4d247f6a8b1a62

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=sha256:956c5ee8efa8ff30bca310f9a9c1f9bcc5e37276f47664ae073f8b211e387c12

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T14:56:03.515455Z digest=sha256:4fb8903604bc39bd1a9547220b5cf79295e7cc3796034a209bfa5b35f9fd58ed

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T14:56:03.517492Z digest=sha256:84de10733ee4117a0ca77b18a574a720e2d40dc3d941165bfcf7af6908576f82

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
unresolved
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=sha256:8780b798dec7f927451e5bc076ce2755c4ade901540bee3c18b50436227ba0ee

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=sha256:902675c1a6050b43cd0df305ae2336c311909e32e7224bd74142f3ee6f95e01e

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=sha256:64bdcc8236febc6e0d07b10a664d1bcac2a6e9e1a026fd4e1017daf9d370878f

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=sha256:9d4c1bd652c07218dda5caed787aae710d478e2b486ffde2da55ba34ab20d5fb

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:f95417b5cc9dcdfeef9811ec591604d1ccfdf0420ff6a634fbc7e7eb501991d0

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T14:56:03.531610Z digest=sha256:3d72ec6f2afec46ee9ca3350237043aad72c82c88390b93d7dec9ef084ac9ea6

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=sha256:2d7b3866dd1af48f99547e7485737f8468f7be31d9dcd8cb0ba70baddd374716

Pith citing papers

No inbound Pith citation observations are available.