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Paper Citation Record · LEDGER

Automatic Instruction Evolving for Large Language Models

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2406.00770.

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

pith.paper-citation-record.v1
2406.00770 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:57:02.145713Z

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

3
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 a78c3c6a-050e-4300-96c8-4af0b6061722 · inbound

Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models cites this paper.

Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models Automatic Instruction Evolving for Large Language Models

Reference 231

Resolution
unresolved
no resolver link, observed 2026-08-11T22:57:02.145713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:57:02.145713Z digest=sha256:8d25fb6ee8d8604871eb992de48bcdec4cc22491ff88c62f83df916ff875c3f2

Observation 7dd0dc24-a682-41df-b699-7505a5f572c2 · inbound

LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods cites this paper.

LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods Automatic Instruction Evolving for Large Language Models

Reference 289

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:08:35.898787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-11T23:08:34.312466Z digest=sha256:dd9d1db1ecd8e0d6c21b05f9a284f32c06b08c62f8103be795924870d5ad2953

Observation 7859c304-0c4c-4b0f-b9b3-4677bed8523c · inbound

CareBot: A Pioneering Full-Process Open-Source Medical Language Model cites this paper.

CareBot: A Pioneering Full-Process Open-Source Medical Language Model Automatic Instruction Evolving for Large Language Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-11T17:28:07.972466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:28:07.972466Z digest=sha256:09843d54c70676e2899524131a4969d1b6ba94772e868d8179cb4ad413605ce8

Observation 8d52b6c0-cdc4-497d-b59f-da3a69a31420 · inbound

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis cites this paper.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Automatic Instruction Evolving for Large Language Models

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-09T00:35:28.528765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:35:28.528765Z digest=sha256:78c5eac0ec74b2b47e95e7c567c863a03e7c484b49d78e6398517949b43bb278

Observation 8b8f76b3-7278-4b7b-962c-88c3e9f66f7c · inbound

Mediator: Memory-efficient LLM Merging with Less Parameter Conflicts and Uncertainty Based Routing cites this paper.

Mediator: Memory-efficient LLM Merging with Less Parameter Conflicts and Uncertainty Based Routing Automatic Instruction Evolving for Large Language Models

Reference 7261

Resolution
unresolved
no resolver link, observed 2026-08-09T00:07:44.792827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T00:07:44.792827Z digest=sha256:cd9feb06edc33d8e463d601ec0f6374c2d3e9e96f2f090116d0bea66cd823aaf

Observation ebd7f217-1e0d-4803-a695-f19d2304d9f0 · inbound

Tag-Evol: Achieving Efficient Instruction Evolving via Tag Injection cites this paper.

Tag-Evol: Achieving Efficient Instruction Evolving via Tag Injection Automatic Instruction Evolving for Large Language Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T12:39:07.348623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:39:07.348623Z digest=sha256:f8397e3dcd48d8e61336b078b748a3fbf3f2eb7a91721edbf5716aacdbbccc1b

Observation a9481148-d000-40ae-bcf3-a1f670d2b072 · inbound

Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence cites this paper.

Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence Automatic Instruction Evolving for Large Language Models

Reference 127

Resolution
verified exact
arxiv_id, observed 2026-05-10T05:25:54.207272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T05:24:00.503836Z digest=sha256:7dfdfadf56da9434752126a1539c04b42c7fb20dde0410655577ece84d7c876c

Observation 31adfb6e-eb10-4382-8105-8bca9cc74a01 · inbound

Automated IEP Generation from Traditional Chinese Parent-Teacher Interviews via Corpus-Grounded Feature Diffusion cites this paper.

Automated IEP Generation from Traditional Chinese Parent-Teacher Interviews via Corpus-Grounded Feature Diffusion Automatic Instruction Evolving for Large Language Models

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-03T00:57:30.696226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-27T16:51:44.689433Z digest=sha256:fb4bce8661fca034f1b3c7d96583812bd12f8c5793fb48fdacee0bbb46f0dfda