Paper Citation Record · LEDGER

InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2303.04947.

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

pith.paper-citation-record.v1
2303.04947 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T12:26:16.373663Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T22:05:05.662609Z

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 8421adad-a751-4c78-af0e-5b187f025f60 · inbound

Instance-dependent Early Stopping cites this paper.

Instance-dependent Early Stopping InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-08T12:26:16.373663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c76ea08c-374c-4588-99e3-c699b1e0358b · inbound

RL-Selector: Reinforcement Learning-Guided Data Selection via Redundancy Assessment cites this paper.

RL-Selector: Reinforcement Learning-Guided Data Selection via Redundancy Assessment InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T22:45:59.939052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4367702a-6c57-44c3-859e-41be010f687c · inbound

Multimodal-Guided Dynamic Dataset Pruning for Robust and Efficient Data-Centric Learning cites this paper.

Multimodal-Guided Dynamic Dataset Pruning for Robust and Efficient Data-Centric Learning InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T16:45:02.762139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 655cd42e-e420-43ac-8fd0-072efa711d96 · inbound

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning cites this paper.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T16:39:56.268656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37b42bd2-25fa-4ca6-9056-326e579df41d · inbound

Data Agent: Learning to Select Data via End-to-End Dynamic Optimization cites this paper.

Data Agent: Learning to Select Data via End-to-End Dynamic Optimization InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-15T15:26:10.934061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 785ed716-352c-40bd-9124-9c65858132a0 · inbound

OPERA: Online Data Pruning for Efficient Retrieval Model Adaptation cites this paper.

OPERA: Online Data Pruning for Efficient Retrieval Model Adaptation InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-03T02:34:20.139275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b317a89-29c5-45dc-b0eb-575420b862af · inbound

Beyond What to Select: A Plug-and-play Oscillatory Data-Volume Scheduling for Efficient Model Training cites this paper.

Beyond What to Select: A Plug-and-play Oscillatory Data-Volume Scheduling for Efficient Model Training InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-06-30T21:55:06.005804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 052248ca-7213-4798-b5d3-619601e1f77a · inbound

SLAP: Stratified Loss-based Pruning for On-Policy Data-Efficient Instruction Tuning cites this paper.

SLAP: Stratified Loss-based Pruning for On-Policy Data-Efficient Instruction Tuning InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-06-30T22:05:05.664193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 03e26409-0670-4bd3-ba20-6d1819113de9 · inbound

Learning Faster without Deeper Networks: A*-Inspired Batch Selection for Efficient CNN Training cites this paper.

Learning Faster without Deeper Networks: A*-Inspired Batch Selection for Efficient CNN Training InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T22:29:40.050893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.