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Paper Citation Record · LEDGER

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

As of 9 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T04:37:06.114224Z digest=sha256:2d9f0e6e9368e7bc89b45f9754261c363351a3bb67fd4e0dae75d1931afe256d

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

Resolution
unresolved
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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T04:37:06.156102Z digest=sha256:b3d90f67f5f337c781526a8582960693013be97145df8708fcd51400929f70dd

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:a1a75da34c16b99d5f1401a600bc4af029b07a766d610e0e972ec29c6c2bb73f

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T04:37:06.296774Z digest=sha256:fe6aaac4ed7098817206529130d5acdd0367ac5efec1903e71e03aea19cec086

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=sha256:9d9c7dded1b1b34b643b543c2b17eec11e17c92d4b49a894d4fd7c460e6087c8

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:f69d53a7a52724320effb6654f804fe35f155b5d34d1eac9078ce220366c67b5

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T04:37:06.496014Z digest=sha256:cae4b225d52a59d468b96064c22e4446693151844b69cacf9247b673a408bec9

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
unresolved
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:fc5aa62dec8cc0d2439924d07a0c8041ea473fc342ad5c6174f08c12ef9a905d

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T04:37:06.631406Z digest=sha256:40eab18da6f3a32e2baaf2ba1cd0dba5d7b41508f788c98d1d62b2eb62eac00b

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=sha256:4bcb54585c2250aba01c527efe75b6bf4ae2a4eb3c4f3b932f75d29e5d100395

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T04:37:06.773060Z digest=sha256:868784eb96242034b6dffc3ee8b125f4f35c971eec07ef8c24723a24ca743ddf

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
unresolved
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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T04:37:06.810078Z digest=sha256:e92cb737dbadd6e27313d2f1fd58183bbee8131f55709e8b4e951afd0d75d423

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T04:37:06.868618Z digest=sha256:e195c4bb9aaa78007b415988139f4e4b567ea4630ea47bc49378e84eee079220

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T04:37:06.975047Z digest=sha256:b20dfac617ddbaf0ba1659ace1cb0bf7b4c7adc606aeac852f8a243b854fabb1

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:d070458cd4f5b01fa4c6a1ace814e9b1b1dadf922f067b852f8b11503c90150e

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T04:37:07.141095Z digest=sha256:534c2af1e2b23d8c90b88c51373187746714d87f572f4d112216d772b376454d

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T04:37:07.192199Z digest=sha256:1a1ed1b3463072995854078b8fd8ed31f447a3d8380065a496edd0535dc34a1e

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

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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:adab56b1794d7c9cc26f300a6e99840345d5e3d748614e1f1ca87905648eb25e

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=sha256:338c8026590529deb2e1181e1d6cb8e23c58c2e157ebc0e689edb3f61221c35d

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T04:37:07.487073Z digest=sha256:3d652d482fbbe1232c3f3380f687240f1eedb096ac0d4730a9ae7f29440ac5c6

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

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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:d5eae062e045f43dd6a4ede0542e5d5074d48bdd0738cb43d9c137cbb0893f0c

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T04:37:07.599652Z digest=sha256:61788afe7ebcc2ae819ce55cb6a6794f192123f7e482f00fb395bcfad8926daa

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T04:37:07.703498Z digest=sha256:e669d1ef1cda27cff6721de98ac11f729ab74b666f009eddfff52a91ed4b236b

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T04:37:07.755069Z digest=sha256:b4d1951cc56088d47f6b52fcb9b3145120ecff1fbd3e5ee5a8182c1419a37332

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T04:37:07.855541Z digest=sha256:b85979750a90736b00c1acad3183ce01bf429e4c5ba368a5ad7aefb58e7e9101

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:ee6198d8beb043a92c0217ae2f9a945fc4c80ff321ea230969619a0829eacf9f

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=sha256:86c5358034d38b00b849e9d9b39f41c5ea853ef1f1ffdd527bf3737c4e78352b

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T04:37:08.078684Z digest=sha256:4ba454af1b81d535bc2ab296b0b9421febc92ef8ea516023ffc63052235e62a3

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:c33f134db138227162af645ba30144b1d7fefe24df9545c6a4a163c5da1cdde0

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T04:37:08.248011Z digest=sha256:07daefe46438960986d5560cdca22a994c0fe6a977d929494a0d50167f460bc7

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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unresolved
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=sha256:904c61228932d6037430f8ad9a73b64b9fde7562f75ce0e19cd776d8c28ec361

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:f30eedaee777a6d22775170297beff1c1fdeb87529527cccfadf0f27eda414ea

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:e1cc2e94a6d952bba093bbf9e757de66878f349f46eb65731679f4a1321cc297

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

Resolution
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=sha256:1036259295930e1b0b7da957d1cbe8e001f8ef0a4971d90fdc7d92e0f772a665

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T04:37:08.664828Z digest=sha256:b30b1da3d02c9357620c3f087f8c15602ebe4957c92a852bd786dd3bf143e9fc

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

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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:c3f1ac6a15b0c087543d4572336b5f926d39b719f8ea6b5dd5f7d7ebde07f795

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T04:37:08.808699Z digest=sha256:48f4e6cc006b9c967171bc38ff9781dd6c29bf6dad6e9e83505744d273073e13

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T04:37:08.900684Z digest=sha256:4a4c230d6f386689dd195a9c0bac3ec0d00397fe174dc51d488de4efb528f371

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=sha256:9336a87f4a4828f4c662579a57d53096bac154cd8d88f1fea4b7eb95d5960ab9

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T04:37:09.095070Z digest=sha256:43809d932cd7592671110db56086245f6468568f2401c55c3802e3e6b8df9296

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:cfcc6e79897c0d32efee4aee2511311951d9006471eef3c1dda7ef307bbd9a50

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=sha256:3fe461d8b8e6ede6db9ff182e9fcfdb14ab99dd1912acff3ae4162e270448e9e

Pith citing papers

No inbound Pith citation observations are available.