Pith. sign in

Paper Citation Record · LEDGER

Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2402.00530.

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

pith.paper-citation-record.v1
2402.00530 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:46:10.901185Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4fd4a0d7-d6b5-43f1-a44c-1b8a089b94a2 · inbound

Preference-Oriented Supervised Fine-Tuning: Favoring Target Model Over Aligned Large Language Models cites this paper.

Preference-Oriented Supervised Fine-Tuning: Favoring Target Model Over Aligned Large Language Models Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T13:44:15.441312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:44:15.441312Z digest=sha256:47d41347db035245b0d10fa5ae40dce97311a66b72453593ef80820ce7e42f4a

Observation 3bcef62e-a6d8-46b4-a134-123b4cff8295 · inbound

ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis cites this paper.

ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T11:59:28.298773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:59:28.298773Z digest=sha256:28eba6dbb9a7f0f02df48149bbf9a146fb2a131ad22b4a3610335fa155a286c6

Observation eb667543-8b2f-401a-ab1b-4949c73ca4d2 · inbound

InfiFusion: A Unified Framework for Enhanced Cross-Model Reasoning via LLM Fusion cites this paper.

InfiFusion: A Unified Framework for Enhanced Cross-Model Reasoning via LLM Fusion Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T22:08:34.870800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:08:34.870800Z digest=sha256:333f544b7159632172b60d75065a67d10c4aa41aa4603294df2d5d8876ef1aa5

Observation d31ed7c8-b58b-43ea-af7d-f97174656187 · inbound

Self-Instruct Few-Shot Jailbreaking: Decompose the Attack into Pattern and Behavior Learning cites this paper.

Self-Instruct Few-Shot Jailbreaking: Decompose the Attack into Pattern and Behavior Learning Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-10T20:35:52.792439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:35:52.792439Z digest=sha256:a38ed1a44efc6dc11bdc30bb8e57332ca218aed940ade02e07416e0e01c9feb4

Observation a9eb0aea-90fe-45b2-bbbd-1d3a9fc9b516 · inbound

R.I.P.: Better Models by Survival of the Fittest Prompts cites this paper.

R.I.P.: Better Models by Survival of the Fittest Prompts Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-09T23:02:23.337220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T23:02:23.337220Z digest=sha256:6b403f0bc8e09d43af530913fd599e725b86b211cf995d767841ae02472cd2d2

Observation 456a8b17-f290-4093-9c35-94f64684e4fe · inbound

DONOD: Efficient and Generalizable Instruction Fine-Tuning for LLMs via Model-Intrinsic Dataset Pruning cites this paper.

DONOD: Efficient and Generalizable Instruction Fine-Tuning for LLMs via Model-Intrinsic Dataset Pruning Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-16T11:46:10.901185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:46:10.901185Z digest=sha256:580503e264e173f50120add8d0986952c0816503c75404caa08634bee95e4881

Observation 37f21c5f-2ae7-4b71-b451-bc0154716b35 · inbound

Generalizing Large Language Model Usability Across Resource-Constrained cites this paper.

Generalizing Large Language Model Usability Across Resource-Constrained Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-15T22:08:54.044576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:08:54.044576Z digest=sha256:ef75307535fc76bdcd44e380a7e386dba6e32833bf4b4b4ae088d13f22864357

Observation 343e6c1b-da6a-4db6-baa5-94753b49e53c · inbound

A Survey of LLM $\times$ DATA cites this paper.

A Survey of LLM $\times$ DATA Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning

Reference 238

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:13.354077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:33:13.354077Z digest=sha256:a40c70bb288650f6addf59f61d72b63718ff6f0c1a9428f45d9be3c3345a0b44

Observation c2327ce6-34a5-4800-bd70-56a1f7ae1353 · inbound

GainRAG: Preference Alignment in Retrieval-Augmented Generation through Gain Signal Synthesis cites this paper.

GainRAG: Preference Alignment in Retrieval-Augmented Generation through Gain Signal Synthesis Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T14:30:54.840814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:30:54.840814Z digest=sha256:2d0404c59bb3919399701c76b74e0ea24e5aba14279c440fcf38b7ddf9189c9f

Observation 61ed1dd4-0b42-49f7-886e-c598770d35fd · inbound

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models cites this paper.

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T05:39:24.049508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:39:24.049508Z digest=sha256:0fbffdc75d0cb93e50045526253433b96d75488181a02743706bec2ed08a7289

Observation e025c603-835d-4347-b7e3-f1551c58d54e · inbound

Hierarchical Fine-grained Preference Optimization for Physically Plausible Video Generation cites this paper.

Hierarchical Fine-grained Preference Optimization for Physically Plausible Video Generation Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-05T20:20:22.587802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:20:22.587802Z digest=sha256:8850b3f845871bac9c437a886d39f01946e0574b4dc742d240328b7cc7c416e9

Observation 690423e3-2206-49c1-a1ec-740ff54306d3 · inbound

From Black Box to Transparency: Enhancing Automated Interpreting Assessment with Explainable AI in College Classrooms cites this paper.

From Black Box to Transparency: Enhancing Automated Interpreting Assessment with Explainable AI in College Classrooms Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-05T20:17:47.697396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:17:47.697396Z digest=sha256:81d40adde55463160e56b4e46b5a17e7e875392265b6e134951cc5cf4db206d2

Observation 6bc546eb-1f3e-4463-9dc6-f327a3f22141 · inbound

Adversarial Arena: Crowdsourcing Data Generation through Interactive Competition cites this paper.

Adversarial Arena: Crowdsourcing Data Generation through Interactive Competition Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:10:09.433864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-10T04:55:43.987116Z digest=sha256:b251cfb648e7b2dafc190366286141a2e0915aab771a44b5161a63e520a304a0

Observation 4b5e11fe-c8a5-4e57-a531-84948178e7d3 · inbound

Trust Functions: Near-Lossless Weak-to-Strong Generalization by Learning When to Trust the Weak Teacher cites this paper.

Trust Functions: Near-Lossless Weak-to-Strong Generalization by Learning When to Trust the Weak Teacher Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning

Reference 38

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T17:42:24.931588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-28T17:35:24.108984Z digest=sha256:245ad13a6a0c7b58b8483539f552158db468f41e1f14a7a2292e03b50a9a9124

Observation b11f88f3-05d9-48fa-9ebe-8b2dd2711a8a · inbound

MentalThink: Shaping Thoughts in Mental SVG World cites this paper.

MentalThink: Shaping Thoughts in Mental SVG World Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning

Reference 187

Resolution
unresolved
no resolver link, observed 2026-07-12T01:50:59.184754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T01:50:59.184754Z digest=sha256:cd0cab91ce179502f3c871ef89b337b38f2a32aedf0869e120e4e32e51f51187

Observation 6217ca62-c7a2-4254-bd40-b0f5091a4f82 · inbound

SFGA: A Statistics-First Gating Architecture with Adjudicative Escalation for Trustworthy SFT Data Procurement cites this paper.

SFGA: A Statistics-First Gating Architecture with Adjudicative Escalation for Trustworthy SFT Data Procurement Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-01T13:54:03.882505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T13:54:03.882505Z digest=sha256:bedfe6e8ee2f6aeef9e5b273876f504f096eab0511a016b06e147554b30bd6ee