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Paper Citation Record · LEDGER

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs

As of 19 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2506.10288.

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

pith.paper-citation-record.v1
2506.10288 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:37:09.300569Z

measured 42 of 42 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

42 of 42 outbound references displayed

  • verified exact1
  • verified fuzzy3
  • unresolved38
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation df4e11c0-f54a-49fb-aa27-f92666091e6a · outbound

This paper cites an unresolved cited work.

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:37:11.679134Z

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=arxiv_source observed=2026-08-07T04:37:06.114224Z digest=sha256:0c6905024ba9fbafcddb315cd5da22b8a021cef9293cb6d147c79af41399eb16

Observation 65479b54-8ceb-4a9c-903b-69f1a1711ae5 · outbound

This paper cites an unresolved cited work.

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs Unresolved cited work

Reference 2

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raw_fallback, observed 2026-08-07T04:37:11.658302Z

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=arxiv_source observed=2026-08-07T04:37:06.156102Z digest=sha256:d8c19dedc1dfdf823afdb8c63187eb09393b10580decfb2f7fa23d94a025b857

Observation 08b7ce6f-70e8-4e2e-a172-63c699e58f94 · outbound

This paper cites Instruction Mining: Instruction Data Selection for Tuning Large Language Models.

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs Instruction Mining: Instruction Data Selection for Tuning Large Language Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T04:37:06.226403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:37:06.226403Z digest=sha256:f577afe62b45948bb095f552c85127ad9568011f9e91690a929722aad750c098

Observation faf3c16c-b1e9-4612-8a9e-88f9cc486220 · outbound

This paper cites an unresolved cited work.

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:37:11.638741Z

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=arxiv_source observed=2026-08-07T04:37:06.296774Z digest=sha256:c6f02b035a7e46a575c16cd3b7f0201e2f1c7ddd124185c70bd162f877aa9f62

Observation 961c0bfe-c3a1-4baa-a6d3-db5ee2918cc9 · outbound

This paper cites an unresolved cited work.

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T04:37:06.384844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:37:06.384844Z digest=sha256:ce0c64dada7d2395d320d39186b5d99bfbf432effea60411a467c2e1525aa955

Observation a2e129c0-9dca-4513-a456-bf220e3b9162 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs Evaluating Large Language Models Trained on Code

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T04:37:06.449634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:37:06.449634Z digest=sha256:4c0ba6ff0cb11d87a19b7920e00faae4f32d2267d66ebb20b7a557f40428cf88

Observation b1a7c554-93ad-46dd-a667-a84d1fef4b9c · outbound

This paper cites an unresolved cited work.

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:37:11.607715Z

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=arxiv_source observed=2026-08-07T04:37:06.496014Z digest=sha256:fcf54aa6fd1538f747bfe5fa41a1cdc2ef51f1d54ae45174b91827e9e83d9417

Observation a89fac9d-dc25-45ab-aef6-60aa283567a1 · outbound

This paper cites Gonzalez, Ion Stoica, and Eric P.

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs Gonzalez, Ion Stoica, and Eric P

Reference 8

Resolution
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no resolver link, observed 2026-08-07T04:37:06.562807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:37:06.562807Z digest=sha256:c30f564446343811d2a94ac3bba02238f89b803eb49020ba593cf99874eccdda

Observation 9fc0fb34-09be-4bc4-980b-726a8abb8aa8 · outbound

This paper cites an unresolved cited work.

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs Unresolved cited work

Reference 9

Resolution
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raw_fallback, observed 2026-08-07T04:37:11.573590Z

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=arxiv_source observed=2026-08-07T04:37:06.631406Z digest=sha256:71cf542096014f4c309131be4eddcd6d478632d14fda6b0b3b94f9f701f084ab

Observation 6301be37-9f1d-4ec7-afb9-4658ad9faf78 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs Training Verifiers to Solve Math Word Problems

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T04:37:06.690020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:37:06.690020Z digest=sha256:6e138b9c5c2be6ef70eed534446a4ea7dbeab1dad0a78f0bf8d234eb3f375294

Observation 8145d598-946e-44d3-9202-e8dc8511f45a · outbound

This paper cites an unresolved cited work.

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs Unresolved cited work

Reference 11

Resolution
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raw_fallback, observed 2026-08-07T04:37:11.555948Z

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=arxiv_source observed=2026-08-07T04:37:06.773060Z digest=sha256:ba34a616b2039bd5029f909c244ba3258442ba7e7240b5540ca150aeb09b0c50

Observation 18b72c50-c6f0-4f17-bfb1-567e97f20db5 · outbound

This paper cites an unresolved cited work.

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs Unresolved cited work

Reference 12

Resolution
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raw_fallback, observed 2026-08-07T04:37:11.535903Z

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=arxiv_source observed=2026-08-07T04:37:06.810078Z digest=sha256:ca6f012ac58fd015d7c36b3e026de583bcb61159b901404072a70473b652e78c

Observation dc6c4c28-6c3f-4f03-a758-639dbf999698 · outbound

This paper cites an unresolved cited work.

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:37:11.516676Z

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=arxiv_source observed=2026-08-07T04:37:06.868618Z digest=sha256:26714138d2e8f0ee14e8c38f64859d0ac1c6f53767e204da74041c8fb5f8b5ff

Observation 61172610-e31a-4b7b-aab5-7a6241e65146 · outbound

This paper cites an unresolved cited work.

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:37:11.498492Z

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=arxiv_source observed=2026-08-07T04:37:06.975047Z digest=sha256:71ee3a8eb77355ed9b4ef87984a238983873c5e7bcbb8ecbd9e3ba3d3596fba2

Observation 97adf9dc-8b66-410b-abf6-5114cd7a7516 · outbound

This paper cites Simfluence: Modeling the Influence of Individual Training Examples by Simulating Training Runs.

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs Simfluence: Modeling the Influence of Individual Training Examples by Simulating Training Runs

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T04:37:07.062387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:37:07.062387Z digest=sha256:3942885859c716f8cab3c429aeef8ab24c3d817ca9c0169f11706a22dc31374c

Observation 81fefc11-8a33-4f76-a77d-0b8ef9fb22de · outbound

This paper cites an unresolved cited work.

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:37:11.466211Z

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=arxiv_source observed=2026-08-07T04:37:07.141095Z digest=sha256:1b72ff9e0c1304fe1c223bb9d68eee8723c044ce2915d0fe0bae53ddb81cc596

Observation 9f3a3e30-0521-4b0a-bef9-5f7ae90b7618 · outbound

This paper cites an unresolved cited work.

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs Unresolved cited work

Reference 17

Resolution
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raw_fallback, observed 2026-08-07T04:37:11.406443Z

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=arxiv_source observed=2026-08-07T04:37:07.192199Z digest=sha256:a793cc1f6dd732f114fa9e72047791b60ce60625aeed2b15d7774b28a595c6cf

Observation 32cdd0de-2abb-4cbb-a09d-f93446123463 · outbound

This paper cites From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large Language Models.

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large Language Models

Reference 18

Resolution
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no resolver link, observed 2026-08-07T04:37:07.323094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:37:07.323094Z digest=sha256:ee182e90d0a7021d3905cc43cff49d7e867b87cc3fd5b2e1e44d89c2571e43cf

Observation bd565edd-119c-4ec2-88bd-53458e1dc298 · outbound

This paper cites an unresolved cited work.

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs Unresolved cited work

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T04:37:07.376714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:37:07.376714Z digest=sha256:8a7b1203ab3197295ad9563a16f1b1890ef6b4eff53986a9e13393f4acdf83cb

Observation 6b9ba8ba-a775-4d65-885c-631b47816d17 · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen - Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen - Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:37:11.349444Z

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=arxiv_source observed=2026-08-07T04:37:07.487073Z digest=sha256:a1214d08aef356da2261861878cbc3f54714adcede8d019f1110f36917a65726

Observation 6415c1dd-76b9-4ad8-bea5-b82eb2c27afd · outbound

This paper cites Datamodels: Predicting Predictions from Training Data.

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs Datamodels: Predicting Predictions from Training Data

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T04:37:07.529636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:37:07.529636Z digest=sha256:252c5a1209b09dd23804f9f1062bb5ea133a823055d523704c6d254fc903df32

Observation e5906dc7-45d6-43fb-ab4b-2506d7ebabfc · outbound

This paper cites o pf, Yannic Kilcher, Dimitri von R \.

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs o pf, Yannic Kilcher, Dimitri von R \

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:37:11.317634Z

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=arxiv_source observed=2026-08-07T04:37:07.599652Z digest=sha256:081d00e44a717fa5e6f26574add860ba1ebf7a465f9c5e481e46b63ef4099841

Observation 7a1e9d28-07a2-4c1d-9544-5bba26a38e4d · outbound

This paper cites an unresolved cited work.

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs Unresolved cited work

Reference 23

Resolution
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raw_fallback, observed 2026-08-07T04:37:11.287636Z

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=arxiv_source observed=2026-08-07T04:37:07.703498Z digest=sha256:31fbcf96da4072c3b14e34301b1cde34ec78fdaa4ae879de5fe972a9bb7f9487

Observation c11286b3-e458-449a-8a2d-2bc6af9b4751 · outbound

This paper cites On Training Data Influence of GPT Models.

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs On Training Data Influence of GPT Models

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:37:09.688569Z

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=arxiv_source observed=2026-08-07T04:37:07.755069Z digest=sha256:881a3ce9165acc721831ec69ce4c332124fa8d3ffc32e96f730f56a81b285fcb

Observation 8dced5ae-3f04-4745-8079-98d3d6bcee12 · outbound

This paper cites Le, Barret Zoph, Jason Wei, and Adam Roberts.

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs Le, Barret Zoph, Jason Wei, and Adam Roberts

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:37:11.266370Z

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=arxiv_source observed=2026-08-07T04:37:07.855541Z digest=sha256:b008828a416a6e0216b0bb638e315920b904d08def8b11888ef0d430083774e8

Observation 6395f6dc-145c-40b2-95f7-9a8944569be9 · outbound

This paper cites SELF: Self-Evolution with Language Feedback.

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs SELF: Self-Evolution with Language Feedback

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T04:37:07.906797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:37:07.906797Z digest=sha256:c9ffe03d7098b0b593fbdc725d26257e7bfff2521e772376a5957e6a4e6aecd7

Observation 115596c1-3ea2-4d5d-96d6-837772734955 · outbound

This paper cites #InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models.

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs #InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T04:37:08.020597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:37:08.020597Z digest=sha256:bbb5e43fa9bce31fd34908e6a8cb71636600c891123490cedb507277b299259f

Observation b760bc22-39c7-4e5b-bad8-cf7955d9388f · outbound

This paper cites an unresolved cited work.

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:37:11.189192Z

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=arxiv_source observed=2026-08-07T04:37:08.078684Z digest=sha256:71d6a5d7a96f24246b469bf8482e5cb1f1dd3609d36264c661c1b375290a054c

Observation 13d1dec7-047b-4c64-95a9-eabb9a96c322 · outbound

This paper cites Instruction Tuning with GPT-4.

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs Instruction Tuning with GPT-4

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T04:37:08.187154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:37:08.187154Z digest=sha256:b324f2a878836b6aca16163aaf2e90792cc903632ddf7d13905b77e1dce598b7

Observation 4088cd49-ed96-4063-b688-d79961be1da6 · outbound

This paper cites an unresolved cited work.

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:37:11.004836Z

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=arxiv_source observed=2026-08-07T04:37:08.248011Z digest=sha256:15c3200511e190115c481fb8a182b4305c9bd461cf3a604b637bdeb40cc787b6

Observation c32394f1-12aa-4ba0-9872-df76d5da4b11 · outbound

This paper cites an unresolved cited work.

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs Unresolved cited work

Reference 31

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no resolver link, observed 2026-08-07T04:37:08.337330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:37:08.337330Z digest=sha256:d478f689aa3a94cecfdc48820b6ab57911dd35ad4a4a3e7015a900c550f5d971

Observation b6929635-699e-4b7c-af54-a8b38eabee1f · outbound

This paper cites an unresolved cited work.

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs Unresolved cited work

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T04:37:08.412798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:37:08.412798Z digest=sha256:a111b31b4a6b0d7ecbf20664360787e6d36f5fbefd4de1c0f0dbf84b36072bbb

Observation ba0461d1-4765-4569-a1f2-cad05ab07a62 · outbound

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

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T04:37:08.515317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:37:08.515317Z digest=sha256:8e928d198920bbdc3b3eae0481802637d2c7f79abbcf7dc70349d33047e90601

Observation 65486530-44bb-4534-95d2-cd0e4126eb44 · outbound

This paper cites Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration.

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration

Reference 34

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unresolved
no resolver link, observed 2026-08-07T04:37:08.594090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:37:08.594090Z digest=sha256:571537e75ed4cf5d7e873423a63f9a7a7ab4acb9836240d6e6a0602aa9464681

Observation 96f2f03d-25f6-40a3-9e9d-1ad87ac402ea · outbound

This paper cites an unresolved cited work.

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:37:10.753964Z

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=arxiv_source observed=2026-08-07T04:37:08.664828Z digest=sha256:2a6aa0e9becc4f029d883da1524311c59ed9386f08e336dcce0c377c971ff9a7

Observation 6849e10f-3a3d-43ad-8d27-7245f7a51d00 · outbound

This paper cites Data Management For Training Large Language Models: A Survey.

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs Data Management For Training Large Language Models: A Survey

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T04:37:08.755456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:37:08.755456Z digest=sha256:b76bdf84c6bbe9e51b5bc89685c47cce9f3d2114051ceed9bd1803a880481cf0

Observation 098a270b-3ebc-4751-be17-280bfc283018 · outbound

This paper cites an unresolved cited work.

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:37:10.547483Z

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=arxiv_source observed=2026-08-07T04:37:08.808699Z digest=sha256:018c79aa79f8f0305675bfdb2872bb0b0afe3e3dce7e0635787a66884d84689f

Observation 9c8a63a5-3bee-41b9-9141-fd0f41d2f540 · outbound

This paper cites an unresolved cited work.

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:37:10.298488Z

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=arxiv_source observed=2026-08-07T04:37:08.900684Z digest=sha256:05b62a0375326375e319f06c50887ab1c38262c138bc59307d539eca91e64d4c

Observation f1ad3954-a342-46fb-b99a-ceb6310123be · outbound

This paper cites A Preliminary Study of the Intrinsic Relationship between Complexity and Alignment.

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs A Preliminary Study of the Intrinsic Relationship between Complexity and Alignment

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T04:37:08.992402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:37:08.992402Z digest=sha256:bb515b5ca65e2d54f8fdf5ecbf8255fcfb23bc93a4cc2fb1c930226160d8692a

Observation 539e672a-9b12-40a4-8325-f7cabb12433a · outbound

This paper cites an unresolved cited work.

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:37:10.053475Z

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=arxiv_source observed=2026-08-07T04:37:09.095070Z digest=sha256:b738a056e6853413106b564ef1bad5b42f6ab0f38ff7f22bd15054920b8564ad

Observation b25c08a3-5188-4db1-b47b-fa9dd2a105ba · outbound

This paper cites online" 'onlinestring :=.

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs online" 'onlinestring :=

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T04:37:09.201199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:37:09.201199Z digest=sha256:7fe209ca3007b052eebe01ebcf6cda87f714e9e8597326d65b42196f6d38e7c4

Observation 81d477b1-84c1-404e-be90-6596cf6c66e3 · outbound

This paper cites write newline.

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs write newline

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T04:37:09.300569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:37:09.300569Z digest=sha256:c75a2c58a016074a9365546829bdd9073dccb63e462017ca8be36c23aa8fd10a

Pith citing papers

No inbound Pith citation observations are available.