Paper Citation Record · LEDGER

Convex Dataset Valuation for Post-Training

As of 11 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2605.16704.

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

pith.paper-citation-record.v1
2605.16704 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-20T18:48:15.774746Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

37 of 37 outbound references displayed

verified exact16
verified fuzzy12
unresolved3
parse uncertain0
malformed identifier1
metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5486d487-4eb6-41eb-93c0-2796dcdb32a0 · outbound

This paper cites doi: https://doi.org/10.1016/S0022-0000(03 )00025-4.

Convex Dataset Valuation for Post-Training doi: https://doi.org/10.1016/S0022-0000(03 )00025-4

Reference 1

Resolution: verified exact; doi, observed 2026-05-20T18:48:52.732430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2a5e5b6b-f03d-42b2-9431-df75c75f8227 · outbound

This paper cites A marketplace for data: An algorithmic solution.

Convex Dataset Valuation for Post-Training A marketplace for data: An algorithmic solution

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:48:53.571763Z

Source-reported events for the cited work

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Observation 5ef17865-4e54-4a1a-b767-2b70f4f3b9ff · outbound

This paper cites SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model.

Convex Dataset Valuation for Post-Training SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T18:48:53.245618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c30f583e-2239-4e81-b67e-d4244bbb7ac9 · outbound

This paper cites A large annotated corpus for learning natural language inference.

Convex Dataset Valuation for Post-Training A large annotated corpus for learning natural language inference

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T18:48:53.202546Z

Source-reported events for the cited work

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Observation 1c4de37f-4a8e-4fb6-b592-6c513e39857b · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Convex Dataset Valuation for Post-Training Training Verifiers to Solve Math Word Problems

Reference 5

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T18:48:53.205927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3ae85a1c-19db-497e-9efb-97513e7f2344 · outbound

This paper cites Dai, Q., Zhang, D., Ma, J.

Convex Dataset Valuation for Post-Training Dai, Q., Zhang, D., Ma, J

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:48:53.602322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c455ffb0-2a5f-4609-b6bc-7788d85bb56a · outbound

This paper cites He, B., Yin, L., Zhen, H.-L., Liu, S., Wu, H., Zhang, X., Yuan, M., and Ma, C.

Convex Dataset Valuation for Post-Training He, B., Yin, L., Zhen, H.-L., Liu, S., Wu, H., Zhang, X., Yuan, M., and Ma, C

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-20T18:48:53.240281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f85ba263-3885-4353-b5e8-de4f107e7682 · outbound

This paper cites Okapi: Instruction-tuned large language models in multiple languages with reinforce- ment learning from human feedback.

Convex Dataset Valuation for Post-Training Okapi: Instruction-tuned large language models in multiple languages with reinforce- ment learning from human feedback

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:48:53.598621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1f64225b-a868-46f8-86ac-eef8fb83d779 · outbound

This paper cites Tulu 3: Pushing Frontiers in Open Language Model Post-Training.

Convex Dataset Valuation for Post-Training Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-20T18:48:53.231305Z

Source-reported events for the cited work

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Observation c3ed8b78-557f-4e21-9735-0d3cf5883bbd · outbound

This paper cites and Roth, D.

Convex Dataset Valuation for Post-Training and Roth, D

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:48:53.600523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9ab3895c-a50b-4df1-b261-75c368867329 · outbound

This paper cites URL http://www.jstor.org/stable/2975974.

Convex Dataset Valuation for Post-Training URL http://www.jstor.org/stable/2975974

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-20T18:48:53.242990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8bd0ecb1-20ba-42e4-b17a-0c94d67949f1 · outbound

This paper cites Overcoming Data Scarcity in Generative Language Modelling for Low-Resource Languages: A Systematic Review.

Convex Dataset Valuation for Post-Training Overcoming Data Scarcity in Generative Language Modelling for Low-Resource Languages: A Systematic Review

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-20T18:48:53.216847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c94b508e-ec66-4845-bacd-41e70eaf6dfa · outbound

This paper cites Multi-task trans- fer matters during instruction-tuning.

Convex Dataset Valuation for Post-Training Multi-task trans- fer matters during instruction-tuning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:48:53.594706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 13c97524-9c42-4a54-94e2-a62a9a439fc7 · outbound

This paper cites B., and Liang, P.

Convex Dataset Valuation for Post-Training B., and Liang, P

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:48:53.596665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ca8775a2-88d4-4509-9c6d-ccffdc9b6c51 · outbound

This paper cites A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts.

Convex Dataset Valuation for Post-Training A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-20T18:48:53.199990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 914416a4-0e65-4966-9567-523b771f472e · outbound

This paper cites Qwen2.5 Technical Report.

Convex Dataset Valuation for Post-Training Qwen2.5 Technical Report

Reference 16

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T18:48:53.228215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f95e4dad-c887-4447-8cfb-8e69b0f47a03 · outbound

This paper cites and Gurevych, I.

Convex Dataset Valuation for Post-Training and Gurevych, I

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:48:53.592457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1cc50248-64f6-4ccd-8a1b-0ac422722152 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Convex Dataset Valuation for Post-Training DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-20T18:48:53.208505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 20f41529-c651-47a7-9cda-fd9dc8be2a50 · outbound

This paper cites Natural Language Understanding with the Quora Question Pairs Dataset.

Convex Dataset Valuation for Post-Training Natural Language Understanding with the Quora Question Pairs Dataset

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-05-20T18:48:53.197075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 44bc7e76-0b49-4d19-a49d-90306d920d82 · outbound

This paper cites D., Ng, A.

Convex Dataset Valuation for Post-Training D., Ng, A

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:48:53.586058Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8d087620-dc1a-4462-88ed-f7fe469f5159 · outbound

This paper cites author Banjac, G.

Convex Dataset Valuation for Post-Training author Banjac, G

Reference 21

Resolution: metadata mismatch; doi, observed 2026-05-20T18:48:52.725358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 71a29ee8-a5a7-4437-9bab-db93c4955708 · outbound

This paper cites Gemma 3 Technical Report.

Convex Dataset Valuation for Post-Training Gemma 3 Technical Report

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-05-20T18:48:53.237200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0dcfbd67-79ba-4b11-bc3c-4dad9bcd7c7c · outbound

This paper cites GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding.

Convex Dataset Valuation for Post-Training GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-05-20T18:48:53.249095Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0a8f9126-3ffa-4e7f-ab2a-a67307063f6e · outbound

This paper cites Neural Network Acceptability Judgments.

Convex Dataset Valuation for Post-Training Neural Network Acceptability Judgments

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-20T18:48:53.219618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9e60c4ff-c7bd-430e-8f98-45e957775454 · outbound

This paper cites A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference.

Convex Dataset Valuation for Post-Training A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-05-20T18:48:53.222382Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 30cbd602-0570-4e51-bf21-2b98b61b353d · outbound

This paper cites Qwen3 Technical Report.

Convex Dataset Valuation for Post-Training Qwen3 Technical Report

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-05-20T18:48:53.225464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2e9e1ee7-ac20-47e2-8027-e49dac1b6a10 · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

Convex Dataset Valuation for Post-Training Instruction-Following Evaluation for Large Language Models

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-05-20T18:48:53.233995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 685a3276-c38a-47ed-b3b0-52a4255ef81d · outbound

This paper cites an unresolved cited work.

Convex Dataset Valuation for Post-Training Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-05-20T18:48:53.579949Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 40d04146-8de5-482f-ac66-b704897cca3e · outbound

This paper cites an unresolved cited work.

Convex Dataset Valuation for Post-Training Unresolved cited work

Reference 29

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d227019f-b817-491f-a569-68d425884c5c · outbound

This paper cites We select the language set in Tab.

Convex Dataset Valuation for Post-Training We select the language set in Tab

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:48:53.583619Z

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Observation 5ee0f0e1-01cb-4ee8-ae2c-1690e6b8ba55 · outbound

This paper cites an unresolved cited work.

Convex Dataset Valuation for Post-Training Unresolved cited work

Reference 31

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Source-reported events for the cited work

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Observation 34e3573d-6972-4378-a650-c1233cecda01 · outbound

This paper cites Data Valuation Baselines G.1.

Convex Dataset Valuation for Post-Training Data Valuation Baselines G.1

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:48:53.578041Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation af6619e2-e807-4214-a31f-fa9d0ae82650 · outbound

This paper cites an unresolved cited work.

Convex Dataset Valuation for Post-Training Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-05-20T18:48:53.576188Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9bd3e295-8f8b-4ee2-a124-8cfd2be54ec2 · outbound

This paper cites Because Acs has signed entries, each row r is implemented via two auxiliary subsets whose difference realizes the signed measurement.

Convex Dataset Valuation for Post-Training Because Acs has signed entries, each row r is implemented via two auxiliary subsets whose difference realizes the signed measurement

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:48:53.573976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 77eb7ff5-c3b1-497b-bae7-1026dad752da · outbound

This paper cites an unresolved cited work.

Convex Dataset Valuation for Post-Training Unresolved cited work

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-20T18:48:53.213805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6f867b37-d9d9-489c-94cb-8252eac71d3d · outbound

This paper cites 3, non-uniform softmax weighting leads to lower absolute performance for all methods in this setting.

Convex Dataset Valuation for Post-Training 3, non-uniform softmax weighting leads to lower absolute performance for all methods in this setting

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-20T18:48:53.211163Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5906251f-5707-4066-8093-5e3a795498d3 · outbound

This paper cites The same valuation scores are used across budgets, and larger budgets move training farther from the local Taylor approximation.

Convex Dataset Valuation for Post-Training The same valuation scores are used across budgets, and larger budgets move training farther from the local Taylor approximation

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:48:53.590470Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

No inbound Pith citation observations are available.