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Paper Citation Record · LEDGER

Harnessing Pairwise Ranking Prompting Through Sample-Efficient Ranking Distillation

As of 10 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 1 inbound Pith citation observation for arXiv:2507.04820.

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

pith.paper-citation-record.v1
2507.04820 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:44:00.007759Z

measured 28 of 28 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 2026-06-25T22:33:32.175982Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T18:50:04.307163Z

Reference resolution

27 of 27 outbound references displayed

  • verified exact0
  • verified fuzzy5
  • unresolved22
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 85df9b0b-244a-427b-b1b8-b48ad5a3c1df · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Harnessing Pairwise Ranking Prompting Through Sample-Efficient Ranking Distillation Gemini: A Family of Highly Capable Multimodal Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T19:43:56.987585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:43:56.987585Z digest=sha256:4a421ab5037fb34e3ee63b7d7b9aebbf71a388da7c062a76d593a6971c20a68b

Observation 6a0a9cea-7da5-4e45-8f13-bbac4666dfe3 · outbound

This paper cites an unresolved cited work.

Harnessing Pairwise Ranking Prompting Through Sample-Efficient Ranking Distillation Unresolved cited work

Reference 3

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unresolved
no resolver link, observed 2026-08-06T19:43:57.066497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:43:57.066497Z digest=sha256:d66df784b57c275fc23390fb2ad9528fa7a16505df27f1f5ea18e1b7ce9a8c47

Observation 38c5ee0f-35ef-4ac2-a32a-516d5b1947a7 · outbound

This paper cites Holistic Evaluation of Language Models.

Harnessing Pairwise Ranking Prompting Through Sample-Efficient Ranking Distillation Holistic Evaluation of Language Models

Reference 4

Resolution
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no resolver link, observed 2026-08-06T19:43:57.117708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:43:57.117708Z digest=sha256:c9d3957a5e68b041f946cff0ac744edf0a73754bbc0281a0ac6370793b11b574

Observation c92e9d9b-9a72-4d67-820c-d7e6b2304efa · outbound

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

Harnessing Pairwise Ranking Prompting Through Sample-Efficient Ranking Distillation Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T19:43:57.176891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:43:57.176891Z digest=sha256:bd440fa33c81f22acfc8b36eb3545f78afef8403515b87a887cf04186f26a634

Observation eb8c98d1-afdd-4260-898d-d95aa0930592 · outbound

This paper cites Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels.

Harnessing Pairwise Ranking Prompting Through Sample-Efficient Ranking Distillation Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T19:43:57.314346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:43:57.314346Z digest=sha256:786d460bf1daa3a24f561795ac05eb21e922f185886c044f436aba76e52b9305

Observation d1945070-5761-489c-bbe2-2130793a0b70 · outbound

This paper cites RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large Language Models.

Harnessing Pairwise Ranking Prompting Through Sample-Efficient Ranking Distillation RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T19:43:57.458041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:43:57.458041Z digest=sha256:78d503108a4df84befb377b52e6780f7b4f5018c60f600e4e500beabb40c94b5

Observation a282bceb-d23b-4a4c-96b1-fa4fd54a77d3 · outbound

This paper cites an unresolved cited work.

Harnessing Pairwise Ranking Prompting Through Sample-Efficient Ranking Distillation Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:44:03.257656Z

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=2026-08-06T19:43:57.631661Z digest=sha256:e30322aeb800a7992c78c01f2258523e186e15565c44bd747010aa34163ee61d

Observation 86015c44-2683-4ad1-ba3b-f0772106a0fe · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Harnessing Pairwise Ranking Prompting Through Sample-Efficient Ranking Distillation Distilling the Knowledge in a Neural Network

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T19:43:57.768980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:43:57.768980Z digest=sha256:618c31e86441051d47d981bf4ffc1cf553640b0b283094f59049843d3847c32d

Observation 27f5b786-80e2-437b-9425-b9b3fd136437 · outbound

This paper cites an unresolved cited work.

Harnessing Pairwise Ranking Prompting Through Sample-Efficient Ranking Distillation Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:44:02.991282Z

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=2026-08-06T19:43:57.905189Z digest=sha256:cb391acaac37b93068e09b6c382306d25ad7fb3949b3d6f641d757bcb54f4372

Observation 7c49fe2f-f1f3-4400-906a-7757c52f2b28 · outbound

This paper cites Reddi, R.

Harnessing Pairwise Ranking Prompting Through Sample-Efficient Ranking Distillation Reddi, R

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:44:02.677645Z

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=2026-08-06T19:43:58.008777Z digest=sha256:f81bc7a60ebaf50b0420b82f653a63826a1e96de995836405263012747ed7614

Observation 3d9b0556-e654-4cac-9acc-36075ab5b0f1 · outbound

This paper cites Instruction Distillation Makes Large Language Models Efficient Zero-shot Rankers.

Harnessing Pairwise Ranking Prompting Through Sample-Efficient Ranking Distillation Instruction Distillation Makes Large Language Models Efficient Zero-shot Rankers

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T19:43:58.190242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:43:58.190242Z digest=sha256:a1290f23ad60ec73f2ba034b4dde6d21d29fe49bc2c91869589eaf7423253773

Observation 057fbc96-0428-4f4f-9d75-b71445b80bc4 · outbound

This paper cites Huang, Y.-N.

Harnessing Pairwise Ranking Prompting Through Sample-Efficient Ranking Distillation Huang, Y.-N

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:44:02.342859Z

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=2026-08-06T19:43:58.298259Z digest=sha256:62a7870804d3eef2036a3303079c6ea00c01fbba3ee3fcbaa24c569540d8deea

Observation b322bc6e-15ec-45c1-94c6-44756b877628 · outbound

This paper cites Burges, T.

Harnessing Pairwise Ranking Prompting Through Sample-Efficient Ranking Distillation Burges, T

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:44:02.080507Z

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=2026-08-06T19:43:58.430499Z digest=sha256:aba086db60a654a1725c9bce0653c40d2e243aa69a842aeef4ebc3e002517763

Observation 0abdca18-0144-4a47-9f9f-fdbe8584e48b · outbound

This paper cites an unresolved cited work.

Harnessing Pairwise Ranking Prompting Through Sample-Efficient Ranking Distillation Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:44:01.828405Z

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=2026-08-06T19:43:58.519891Z digest=sha256:fe2fe06ae63e88d3a71fac281fe18d12cf5d3d18d7f70ee674f4c7c8f2dcdd05

Observation 30415b3a-1805-4464-814a-79fc98696892 · outbound

This paper cites Craswell, Mean Reciprocal Rank, Springer US, Boston, MA, 2009, pp.

Harnessing Pairwise Ranking Prompting Through Sample-Efficient Ranking Distillation Craswell, Mean Reciprocal Rank, Springer US, Boston, MA, 2009, pp

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T19:43:58.627719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:43:58.627719Z digest=sha256:71906c9d7c27a80af731804e14b3014117081ec3a1834682073e955d937a7dcb

Observation b599e5bb-6a22-4d86-86be-d842b669864e · outbound

This paper cites Burges, K.

Harnessing Pairwise Ranking Prompting Through Sample-Efficient Ranking Distillation Burges, K

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:44:01.629285Z

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=2026-08-06T19:43:58.735744Z digest=sha256:0073862f8375de70856ec3b9c13e154fb49987949b1623969f7bc6d2443f4d54

Observation 6f56238d-1072-4564-b912-db7abe73b392 · outbound

This paper cites an unresolved cited work.

Harnessing Pairwise Ranking Prompting Through Sample-Efficient Ranking Distillation Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:44:01.291511Z

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=2026-08-06T19:43:58.834116Z digest=sha256:f9ee2215c5f9282d6514778cbdaf06419edc6ef497a8b4190dcf08fffe99a700

Observation 0bad2c89-da84-424d-8b60-ef0b5298d1e4 · outbound

This paper cites an unresolved cited work.

Harnessing Pairwise Ranking Prompting Through Sample-Efficient Ranking Distillation Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:44:00.963149Z

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=2026-08-06T19:43:58.966797Z digest=sha256:626d9f549ae681f418bcf9c5cf1b5e4193484e2890565746cdc9f26573efd34a

Observation 8d9a02da-4127-4e62-9275-ea735a4e95c3 · outbound

This paper cites Craswell, B.

Harnessing Pairwise Ranking Prompting Through Sample-Efficient Ranking Distillation Craswell, B

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:44:00.656685Z

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=2026-08-06T19:43:59.054350Z digest=sha256:a170c012539e419a55af29218b3bce7ec25bb52ee93d3d9c319dc87c6cf87a9b

Observation 7a4cca7a-be70-41e5-bf97-b75166e7e173 · outbound

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

Harnessing Pairwise Ranking Prompting Through Sample-Efficient Ranking Distillation Overview of the TREC 2019 deep learning track

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T19:43:59.135012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:43:59.135012Z digest=sha256:3bab011546c5a0a5176fe34bed540b001be78f84b465d1c109b75b73d5a9b647

Observation 4b883cd2-4832-4dbd-b426-b7dbf9410c59 · outbound

This paper cites PaLM 2 Technical Report.

Harnessing Pairwise Ranking Prompting Through Sample-Efficient Ranking Distillation PaLM 2 Technical Report

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T19:43:59.322180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:43:59.322180Z digest=sha256:d6a40d7e0a20de3e6c1505c1df6bcd785a065e723c7679350f81c8dfa48287c6

Observation a528a784-95fb-4541-933c-7a30fe90ff10 · outbound

This paper cites GPT-4 Technical Report.

Harnessing Pairwise Ranking Prompting Through Sample-Efficient Ranking Distillation GPT-4 Technical Report

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T19:43:59.504330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:43:59.504330Z digest=sha256:4d95cd651c67b8aad2933e0de1e8d400bf5ce1ab523299e614e0c1f3d92af2df

Observation 5d7e2a43-7c66-44ad-bfbb-624a47cb3c04 · outbound

This paper cites The Llama 3 Herd of Models.

Harnessing Pairwise Ranking Prompting Through Sample-Efficient Ranking Distillation The Llama 3 Herd of Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T19:43:59.589283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:43:59.589283Z digest=sha256:4df55ac6b0e6df34a5584a040eb9784646d1ba5737272c0507485128933d346d

Observation 1eec72f6-27f0-42cb-9b9b-d4b5f26afb66 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Harnessing Pairwise Ranking Prompting Through Sample-Efficient Ranking Distillation Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T19:43:59.667608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:43:59.667608Z digest=sha256:3d6570e9fb8c003d20f0dbde0d568a17a7d1cb482babefebd37009a34af13d09

Observation 6a369cea-b2d9-4a35-b8e7-1b27015558b1 · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

Harnessing Pairwise Ranking Prompting Through Sample-Efficient Ranking Distillation Gemma: Open Models Based on Gemini Research and Technology

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T19:43:59.808010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:43:59.808010Z digest=sha256:c177ed2192a2bc2b963ba659719fbbc2b81afef7f7c925187130594de4435e97

Observation 4c6fae69-285a-47af-92ce-1b64be7dab40 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

Harnessing Pairwise Ranking Prompting Through Sample-Efficient Ranking Distillation Gemma 2: Improving Open Language Models at a Practical Size

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T19:43:59.930434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:43:59.930434Z digest=sha256:541fc457fbfbf025e380c5a8720551926d8051232e17bebfa89353e2f9cfa694

Observation f693d7e5-8cce-494a-86ec-eee4a2dfeb3a · outbound

This paper cites Adapting Decoder-Based Language Models for Diverse Encoder Downstream Tasks.

Harnessing Pairwise Ranking Prompting Through Sample-Efficient Ranking Distillation Adapting Decoder-Based Language Models for Diverse Encoder Downstream Tasks

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T19:44:00.007759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:44:00.007759Z digest=sha256:c6a385d5dd9e5373e7c868828cb951207bf2d4ab29efc56c45475af3c1f8861b

Pith citing papers

Observation 99d18153-3817-4298-b575-d4f7df88b484 · inbound

PETRA: Transforming Web Text for Petroleum-Engineering Domain Adaptation cites this paper.

PETRA: Transforming Web Text for Petroleum-Engineering Domain Adaptation Harnessing Pairwise Ranking Prompting Through Sample-Efficient Ranking Distillation

Reference 118

Resolution
verified exact
arxiv_id, observed 2026-07-04T18:50:04.309088Z

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=2026-06-25T22:33:32.175982Z digest=sha256:2e0ae98e3485cf10eacc4f23d872f292118c1a0c3e5f0eb955f0db730ae4a3b1