Paper Citation Record · LEDGER

Large-Scale Data Selection for Instruction Tuning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2503.01807.

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

pith.paper-citation-record.v1
2503.01807 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:25:18.318477Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T19:18:54.703277Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7ad7eead-b72b-4edc-ab2d-e2114b9f9814 · inbound

Reinforcement Learning for Reasoning in Large Language Models with One Training Example cites this paper.

Reinforcement Learning for Reasoning in Large Language Models with One Training Example Large-Scale Data Selection for Instruction Tuning

Reference 48

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T19:51:05.034374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1842ce34-e2e5-4790-8ad3-bdc80f01ace0 · inbound

Efficient Data Selection at Scale via Influence Distillation cites this paper.

Efficient Data Selection at Scale via Influence Distillation Large-Scale Data Selection for Instruction Tuning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:18.318477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b82e5ce-5627-4432-acbb-de0cc0225403 · inbound

Act Only When It Pays: Efficient Reinforcement Learning for LLM Reasoning via Selective Rollouts cites this paper.

Act Only When It Pays: Efficient Reinforcement Learning for LLM Reasoning via Selective Rollouts Large-Scale Data Selection for Instruction Tuning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T11:33:54.560575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f738fbeb-dc33-4e5b-9782-9a22379c6465 · inbound

From Data-Centric to Sample-Centric: Enhancing LLM Reasoning via Progressive Optimization cites this paper.

From Data-Centric to Sample-Centric: Enhancing LLM Reasoning via Progressive Optimization Large-Scale Data Selection for Instruction Tuning

Reference 9061

Resolution: unresolved; no resolver link, observed 2026-08-06T19:07:35.904174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97269dc6-35f8-4512-a8c4-85965883311d · inbound

Representation-Based Exploration for Language Models: From Test-Time to Post-Training cites this paper.

Representation-Based Exploration for Language Models: From Test-Time to Post-Training Large-Scale Data Selection for Instruction Tuning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T10:09:02.113206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03322189-9972-4a5d-b58a-f2ff05623527 · inbound

Beyond Variance: Prompt-Efficient RLVR via Rare-Event Amplification and Bidirectional Pairing cites this paper.

Beyond Variance: Prompt-Efficient RLVR via Rare-Event Amplification and Bidirectional Pairing Large-Scale Data Selection for Instruction Tuning

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-16T08:27:36.777923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1108d41d-d4f1-41b3-ba62-3f044b1bb4aa · inbound

A Critical Look at Targeted Instruction Selection: Disentangling What Matters (and What Doesn't) cites this paper.

A Critical Look at Targeted Instruction Selection: Disentangling What Matters (and What Doesn't) Large-Scale Data Selection for Instruction Tuning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-02T23:11:01.819873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2121ec55-7757-4c87-bb49-76cae12a4cac · inbound

GIST: Targeted Data Selection for Instruction Tuning via Coupled Optimization Geometry cites this paper.

GIST: Targeted Data Selection for Instruction Tuning via Coupled Optimization Geometry Large-Scale Data Selection for Instruction Tuning

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-21T12:30:07.830594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d69dcf57-71e5-44be-b66e-80b36958618d · inbound

HEALing Entropy Collapse: Enhancing Exploration in Few-Shot RLVR via Hybrid-Domain Entropy Dynamics Alignment cites this paper.

HEALing Entropy Collapse: Enhancing Exploration in Few-Shot RLVR via Hybrid-Domain Entropy Dynamics Alignment Large-Scale Data Selection for Instruction Tuning

Reference 92

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T05:25:55.324943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1fdc3812-c306-436b-8e12-d3c10b6774ef · inbound

Rethinking Data Curation in LLM Training: Online Reweighting Offers Better Generalization than Offline Methods cites this paper.

Rethinking Data Curation in LLM Training: Online Reweighting Offers Better Generalization than Offline Methods Large-Scale Data Selection for Instruction Tuning

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T07:11:53.295981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6e64941c-a5cc-42a1-864f-11bb86ad213a · inbound

From Instance Selection to Fixed-Pool Data Recipe Search for Supervised Fine-Tuning cites this paper.

From Instance Selection to Fixed-Pool Data Recipe Search for Supervised Fine-Tuning Large-Scale Data Selection for Instruction Tuning

Reference 41

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T20:39:26.646591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b6c1d0a4-ad02-4edc-8f6d-ee9ec135dc86 · inbound

Interaction-Aware Influence Functions for Group Attribution cites this paper.

Interaction-Aware Influence Functions for Group Attribution Large-Scale Data Selection for Instruction Tuning

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T20:43:43.371750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 30e85dec-c936-4e00-9512-d3ed93f80936 · inbound

Influcoder: Distilling Decoders' Gradient Influence Rankings into an Encoder for Data Attribution cites this paper.

Influcoder: Distilling Decoders' Gradient Influence Rankings into an Encoder for Data Attribution Large-Scale Data Selection for Instruction Tuning

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T15:18:33.873958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 74abf2df-c0fe-41ff-947b-3f04142e9b2e · inbound

DRIFT: Refining Instruction Data via On-Policy Data Attribution cites this paper.

DRIFT: Refining Instruction Data via On-Policy Data Attribution Large-Scale Data Selection for Instruction Tuning

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T19:18:54.705014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.