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Paper Citation Record · LEDGER

Are Optimal Algorithms Still Optimal? Rethinking Sorting in LLM-Based Pairwise Ranking with Batching and Caching

As of 10 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 1 inbound Pith citation observation for arXiv:2505.24643.

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

pith.paper-citation-record.v1
2505.24643 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:35:32.259601Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T11:21:14.735936Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T11:24:38.048227Z

Reference resolution

25 of 25 outbound references displayed

  • verified exact2
  • verified fuzzy1
  • unresolved22
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2544d9db-17e7-4d53-b4bd-6747c17c79d9 · outbound

This paper cites Sorting with Predictions.

Are Optimal Algorithms Still Optimal? Rethinking Sorting in LLM-Based Pairwise Ranking with Batching and Caching Sorting with Predictions

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:35:33.188410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T12:35:30.007205Z digest=sha256:4a1274bb88654d01520d19dd5687e69c3a4ba0bd0f3826f1da0788acab1461c7

Observation 0b6f0807-2792-4e7b-9292-0c9a3b6eb329 · outbound

This paper cites Language Models are Few-Shot Learners.

Are Optimal Algorithms Still Optimal? Rethinking Sorting in LLM-Based Pairwise Ranking with Batching and Caching Language Models are Few-Shot Learners

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:30.113783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:30.113783Z digest=sha256:d311bf792a46d698fb72ae424730ffffa4d1df2aba90954358670e1c81707c35

Observation ad4eb806-8642-4b68-b13f-3d4c83ef0e59 · outbound

This paper cites Scaling Instruction-Finetuned Language Models.

Are Optimal Algorithms Still Optimal? Rethinking Sorting in LLM-Based Pairwise Ranking with Batching and Caching Scaling Instruction-Finetuned Language Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:30.206062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:30.206062Z digest=sha256:200b3b77a55067aabef3483e793844aeeaa8ce3fb16af63f786e38ef437542a9

Observation 1bcbf8b6-98e7-48c7-9a5c-2dfbefa5acd7 · outbound

This paper cites Overview of the TREC 2020 deep learning track.

Are Optimal Algorithms Still Optimal? Rethinking Sorting in LLM-Based Pairwise Ranking with Batching and Caching Overview of the TREC 2020 deep learning track

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:30.312828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:30.312828Z digest=sha256:ae0e0f30ccff601b309b877714050199689c175cadb1c555c289a8ea09bacce4

Observation 2a314860-2e9e-4cd2-9735-dac2d252714e · outbound

This paper cites Overview of the TREC 2019 deep learning track.

Are Optimal Algorithms Still Optimal? Rethinking Sorting in LLM-Based Pairwise Ranking with Batching and Caching Overview of the TREC 2019 deep learning track

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:30.383061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:30.383061Z digest=sha256:5b62d8bc904d08a13e2f2c234bad1b8f174bbcce5ff128db563954c3fe1a049d

Observation 8807302f-7c53-4419-a7e9-fba8747f31dc · outbound

This paper cites The Llama 3 Herd of Models.

Are Optimal Algorithms Still Optimal? Rethinking Sorting in LLM-Based Pairwise Ranking with Batching and Caching The Llama 3 Herd of Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:30.451370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:30.451370Z digest=sha256:4c58ddcddf2c48c2259d6cd2b0007b3ab5b17082ec3bb730ccc93e6d71e706de

Observation 18a73348-9d50-4a88-ad16-258ae6f271bd · outbound

This paper cites an unresolved cited work.

Are Optimal Algorithms Still Optimal? Rethinking Sorting in LLM-Based Pairwise Ranking with Batching and Caching Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:35:33.820094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T12:35:30.578293Z digest=sha256:6b74c9653c47d9e32fe87bb0a692aff95b12cb986393e76b64a282100e6cf7c0

Observation 3d1482aa-e0a4-4c9e-8266-7568d7de8649 · outbound

This paper cites Mistral 7B.

Are Optimal Algorithms Still Optimal? Rethinking Sorting in LLM-Based Pairwise Ranking with Batching and Caching Mistral 7B

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:30.670163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:30.670163Z digest=sha256:ef3f70ce63022fc05572e85dc0d1e857cf4a64ba9b1d4150fc23448ba74adc0f

Observation 33089719-18fd-40ba-a3b2-26e9764b634e · outbound

This paper cites an unresolved cited work.

Are Optimal Algorithms Still Optimal? Rethinking Sorting in LLM-Based Pairwise Ranking with Batching and Caching Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:30.786576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:30.786576Z digest=sha256:bc190473593c3871ea491184c5a556625babb0c6bd155633544e8a8452b599c7

Observation e1977e87-93b0-417a-9ef7-172ca30c0ae0 · outbound

This paper cites Zero-Shot Listwise Document Reranking with a Large Language Model.

Are Optimal Algorithms Still Optimal? Rethinking Sorting in LLM-Based Pairwise Ranking with Batching and Caching Zero-Shot Listwise Document Reranking with a Large Language Model

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:30.868909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:30.868909Z digest=sha256:92866bef5ef536cd70be8bd4c247192d705d83ea35402d63e9bafb6de574d730

Observation 334a71e8-aa3b-4045-8612-792769723af7 · outbound

This paper cites an unresolved cited work.

Are Optimal Algorithms Still Optimal? Rethinking Sorting in LLM-Based Pairwise Ranking with Batching and Caching Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:35:33.646898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T12:35:30.976348Z digest=sha256:9971d4f0500eac90ae952c66bf37737307403f7b557bf15406c4e0726c2a0419

Observation 509d60ff-e1bc-4a0b-89f6-aae02c792423 · outbound

This paper cites an unresolved cited work.

Are Optimal Algorithms Still Optimal? Rethinking Sorting in LLM-Based Pairwise Ranking with Batching and Caching Unresolved cited work

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:31.064072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:31.064072Z digest=sha256:20e108eb4c967b0cb17b4cc7d1e87faeb21adf4819453d706ecdee0c03c4381f

Observation 72ea86f8-1e86-48ec-b3ab-b0da8bf04d44 · outbound

This paper cites Active Sampling for Pairwise Comparisons via Approximate Message Passing and Information Gain Maximization.

Are Optimal Algorithms Still Optimal? Rethinking Sorting in LLM-Based Pairwise Ranking with Batching and Caching Active Sampling for Pairwise Comparisons via Approximate Message Passing and Information Gain Maximization

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:35:32.852618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T12:35:31.133015Z digest=sha256:0ca4556ca9c1ab1b70361fb0aa9f87f05dd14ebdaa31595540427b8517308859

Observation b8defab9-4347-41c6-8c6c-779ecc21e298 · outbound

This paper cites Document Ranking with a Pretrained Sequence-to-Sequence Model.

Are Optimal Algorithms Still Optimal? Rethinking Sorting in LLM-Based Pairwise Ranking with Batching and Caching Document Ranking with a Pretrained Sequence-to-Sequence Model

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:31.216580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:31.216580Z digest=sha256:0ab0f3f1486e16a19c997070726bfce9bc5161e153d0010f77c2e66df571f848

Observation db9c9808-984d-4ba7-965a-e4ecc48cdf06 · outbound

This paper cites an unresolved cited work.

Are Optimal Algorithms Still Optimal? Rethinking Sorting in LLM-Based Pairwise Ranking with Batching and Caching Unresolved cited work

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:31.300378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:31.300378Z digest=sha256:e86b17264cd4cb72c2e6dee39c9503c09f654584cf5df684cc1a489ca292007d

Observation c298e99d-5ea1-4f1f-ac3c-cb3af83d41be · outbound

This paper cites Robertson and Hugo Zaragoza.

Are Optimal Algorithms Still Optimal? Rethinking Sorting in LLM-Based Pairwise Ranking with Batching and Caching Robertson and Hugo Zaragoza

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:33.482893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T12:35:31.363207Z digest=sha256:7f402f6d3b080acd96b86e2dfe7369cac89fba618308adf85d4278531aef0037

Observation 2941e92a-04ec-41fe-abff-c5cb296587ca · outbound

This paper cites an unresolved cited work.

Are Optimal Algorithms Still Optimal? Rethinking Sorting in LLM-Based Pairwise Ranking with Batching and Caching Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:35:33.363437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T12:35:31.447429Z digest=sha256:844a468be03f59e558b09ca583165e452d903f5c0026a611851d03ecc07853d5

Observation c94db398-7e04-431e-91a5-a984f614f83a · outbound

This paper cites Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents.

Are Optimal Algorithms Still Optimal? Rethinking Sorting in LLM-Based Pairwise Ranking with Batching and Caching Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:31.545191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:31.545191Z digest=sha256:87f08c5d1deed0213779312b1ca6504b590e6a9c561adca3555f9b84d1ce0a59

Observation 28418bb7-d21b-43ce-a51d-01f9119ec6ee · outbound

This paper cites BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models.

Are Optimal Algorithms Still Optimal? Rethinking Sorting in LLM-Based Pairwise Ranking with Batching and Caching BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:31.622512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:31.622512Z digest=sha256:f4bb212ecb236d841046b1e6c8d4c2c94f6353a658516ea46fe63bd9e1589ba2

Observation 12af46f5-2ec7-4f08-8739-9758777b7369 · outbound

This paper cites an unresolved cited work.

Are Optimal Algorithms Still Optimal? Rethinking Sorting in LLM-Based Pairwise Ranking with Batching and Caching Unresolved cited work

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:31.673772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:31.673772Z digest=sha256:c9018ee5c883931e9d1b2656f7caec9c847269dc7a6c97d639b4bffa4d2646c8

Observation c8e687f2-7a2f-4634-8327-38836513ff0f · outbound

This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.

Are Optimal Algorithms Still Optimal? Rethinking Sorting in LLM-Based Pairwise Ranking with Batching and Caching HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:31.753968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:31.753968Z digest=sha256:5b3b30577297b0b20b56e9321c2270cfccc0b70415add7a71cc16ac4d068c34e

Observation 25ab1a34-0d68-4438-b2c2-b1d2964aa7d2 · outbound

This paper cites an unresolved cited work.

Are Optimal Algorithms Still Optimal? Rethinking Sorting in LLM-Based Pairwise Ranking with Batching and Caching Unresolved cited work

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:31.894872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:31.894872Z digest=sha256:dbb319542b94b7e57924876d046bc82e6af28436cfbba576615a4a1580f84ec3

Observation e20f04f8-035e-4c6e-9cd7-a6fa94723fe9 · outbound

This paper cites an unresolved cited work.

Are Optimal Algorithms Still Optimal? Rethinking Sorting in LLM-Based Pairwise Ranking with Batching and Caching Unresolved cited work

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:32.016046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:32.016046Z digest=sha256:e6de77235dda16d5c6f77c6b0846c5fd1f661655cd43c9677db678cd2d398959

Observation 018c8fb5-b7be-470b-b5ff-2b88e61e6856 · outbound

This paper cites URL: " 'urlintro :=.

Are Optimal Algorithms Still Optimal? Rethinking Sorting in LLM-Based Pairwise Ranking with Batching and Caching URL: " 'urlintro :=

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:32.131471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:32.131471Z digest=sha256:db3bab3cc54f1f984298dcf688e9cf913bad41490d973a18d33a1eb7e5c416ba

Observation d1378ea2-79ed-4c93-9305-b8b9b6a64f6f · outbound

This paper cites write newline.

Are Optimal Algorithms Still Optimal? Rethinking Sorting in LLM-Based Pairwise Ranking with Batching and Caching write newline

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:32.259601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:32.259601Z digest=sha256:93634ee0466379d3e3a66e6e79773e31c30197a1bdaeb4e5e371dd53836731a3

Pith citing papers

Observation d1426d81-3fb9-4ddf-9589-14b5ab448073 · inbound

Surprise-Guided MergeSort: Budget-Efficient Human-in-the-Loop Ranking via Adaptive Comparison Scheduling cites this paper.

Surprise-Guided MergeSort: Budget-Efficient Human-in-the-Loop Ranking via Adaptive Comparison Scheduling Are Optimal Algorithms Still Optimal? Rethinking Sorting in LLM-Based Pairwise Ranking with Batching and Caching

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-06-30T11:24:38.049742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T11:21:14.735936Z digest=sha256:487aa096fc83a9c1783c8e51f4f0b30958cd2cfa3be3ea5fa6ec7b0b36f7faeb