Paper Citation Record · LEDGER

A Classifier That Teaches Itself: Self-Improving, Frozen-gate Training (SIFT) for Dynamic Document Classification

As of 22 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2607.18358.

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

pith.paper-citation-record.v1
2607.18358 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T16:44:40.610076Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

15 of 15 outbound references displayed

verified exact0
verified fuzzy0
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1c4cce93-48a1-441f-9c08-30079ac7b947 · outbound

This paper cites H., Ehrenberg, H., Fries, J., Wu, S., & Ré, C.

A Classifier That Teaches Itself: Self-Improving, Frozen-gate Training (SIFT) for Dynamic Document Classification H., Ehrenberg, H., Fries, J., Wu, S., & Ré, C

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T16:44:39.018908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a89e4f79-6724-483a-9e6a-7b0b4721446e · outbound

This paper cites Active Learning Literature Survey.University of Wisconsin–Madison, Computer Sciences Technical Report 1648, 2009.

A Classifier That Teaches Itself: Self-Improving, Frozen-gate Training (SIFT) for Dynamic Document Classification Active Learning Literature Survey.University of Wisconsin–Madison, Computer Sciences Technical Report 1648, 2009

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T16:44:39.133581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9db89d4-e17d-4e5a-a9a6-0c5d133a3c4c · outbound

This paper cites Enhancing Text Classification through LLM-Driven Active Learning and Human Annotation.

A Classifier That Teaches Itself: Self-Improving, Frozen-gate Training (SIFT) for Dynamic Document Classification Enhancing Text Classification through LLM-Driven Active Learning and Human Annotation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T16:44:39.246925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04abc2d3-7ef3-4894-bbfd-9c961c501195 · outbound

This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.Advances in Neural Information Processing Systems (NeurIPS) 36, 2023.

A Classifier That Teaches Itself: Self-Improving, Frozen-gate Training (SIFT) for Dynamic Document Classification Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.Advances in Neural Information Processing Systems (NeurIPS) 36, 2023

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T16:44:39.358473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a42f0be1-97bf-4ae6-b166-bf55e02eebf2 · outbound

This paper cites SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking.

A Classifier That Teaches Itself: Self-Improving, Frozen-gate Training (SIFT) for Dynamic Document Classification SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T16:44:39.468807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de0e74ae-6702-4ac7-a970-3aa9ba63a142 · outbound

This paper cites LightGBM: A Highly Efficient Gradient Boosting Decision Tree.Advances in Neural Information Processing Systems (NeurIPS) 30, 2017.

A Classifier That Teaches Itself: Self-Improving, Frozen-gate Training (SIFT) for Dynamic Document Classification LightGBM: A Highly Efficient Gradient Boosting Decision Tree.Advances in Neural Information Processing Systems (NeurIPS) 30, 2017

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T16:44:39.528355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30352984-ba5b-4b6d-997d-dad20f06748a · outbound

This paper cites FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance.

A Classifier That Teaches Itself: Self-Improving, Frozen-gate Training (SIFT) for Dynamic Document Classification FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T16:44:39.634802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25829c02-b3a2-4645-8238-8eb33f33254f · outbound

This paper cites A Survey on Concept Drift Adaptation.ACM Com‐ puting Surveys, 46(4):1–37, 2014.

A Classifier That Teaches Itself: Self-Improving, Frozen-gate Training (SIFT) for Dynamic Document Classification A Survey on Concept Drift Adaptation.ACM Com‐ puting Surveys, 46(4):1–37, 2014

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T16:44:39.826484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3525df42-4dca-45b5-aad8-af7e7c5bb0db · outbound

This paper cites Applying LLMs to Active Learning: Towards Cost-Efficient Cross-Task Text Classification without Manually Labeled Data.

A Classifier That Teaches Itself: Self-Improving, Frozen-gate Training (SIFT) for Dynamic Document Classification Applying LLMs to Active Learning: Towards Cost-Efficient Cross-Task Text Classification without Manually Labeled Data

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T16:44:39.878585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5905235b-2d28-43bf-95af-f76a80fb96f0 · outbound

This paper cites 1" critical_labels: [NDA] # classes that must never regress judge_policy: extra_instructions: | A page headed.

A Classifier That Teaches Itself: Self-Improving, Frozen-gate Training (SIFT) for Dynamic Document Classification 1" critical_labels: [NDA] # classes that must never regress judge_policy: extra_instructions: | A page headed

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T16:44:40.025375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 441317d5-04a5-4cff-a35e-ac715be4a40c · outbound

This paper cites an unresolved cited work.

A Classifier That Teaches Itself: Self-Improving, Frozen-gate Training (SIFT) for Dynamic Document Classification Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T16:44:40.163014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9d7ed37-4458-49b7-86b0-6b369f67ba2d · outbound

This paper cites an unresolved cited work.

A Classifier That Teaches Itself: Self-Improving, Frozen-gate Training (SIFT) for Dynamic Document Classification Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T16:44:40.288209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9874347b-b02e-4a00-af3a-9313f7475948 · outbound

This paper cites an unresolved cited work.

A Classifier That Teaches Itself: Self-Improving, Frozen-gate Training (SIFT) for Dynamic Document Classification Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T16:44:40.386327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a911183d-5a34-4b4c-9c09-fb72bed4034f · outbound

This paper cites an unresolved cited work.

A Classifier That Teaches Itself: Self-Improving, Frozen-gate Training (SIFT) for Dynamic Document Classification Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T16:44:40.498095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e86c6cc-bc11-451d-bd77-91127537704c · outbound

This paper cites an unresolved cited work.

A Classifier That Teaches Itself: Self-Improving, Frozen-gate Training (SIFT) for Dynamic Document Classification Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T16:44:40.610076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.