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Paper Citation Record · LEDGER

Learning to Generate Instruction Tuning Datasets for Zero-Shot Task Adaptation

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2402.18334.

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

pith.paper-citation-record.v1
2402.18334 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:52:37.200189Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T02:26:26.681775Z

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 a180c0bd-0333-46ef-aed6-f19a61b16814 · inbound

Efficient Knowledge Injection in LLMs via Self-Distillation cites this paper.

Efficient Knowledge Injection in LLMs via Self-Distillation Learning to Generate Instruction Tuning Datasets for Zero-Shot Task Adaptation

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-11T11:52:37.200189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:52:37.200189Z digest=sha256:2cf2f2771f9f9fa7d606a136c9d6387ee40c85c069cf118ce73c1bc63821daeb

Observation 60719554-ca92-453e-9c60-d13603a36822 · inbound

Error-driven Data-efficient Large Multimodal Model Tuning cites this paper.

Error-driven Data-efficient Large Multimodal Model Tuning Learning to Generate Instruction Tuning Datasets for Zero-Shot Task Adaptation

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-11T11:18:33.595166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:18:33.595166Z digest=sha256:48366714649f91bda7fc8d0e8d56b7dd3db83a4c47254d51c961fbfc644ba334

Observation 14fd887c-578c-40e3-a8da-0089ceb992d2 · inbound

Cartridges: Lightweight and general-purpose long context representations via self-study cites this paper.

Cartridges: Lightweight and general-purpose long context representations via self-study Learning to Generate Instruction Tuning Datasets for Zero-Shot Task Adaptation

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-07T06:04:33.139683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:04:33.139683Z digest=sha256:aba21a7189c867153012a7c613a8fcb15558ee6766c3f0cc16965fc6045b19d7

Observation b45f2bae-cf7a-47b7-8989-3650b2a6f022 · inbound

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead cites this paper.

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead Learning to Generate Instruction Tuning Datasets for Zero-Shot Task Adaptation

Reference 266

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:44.522717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:44.522717Z digest=sha256:6ff443c16fa900e40e33533b95be0d48c42f4241aebc197a5da6683d8d1df723

Observation 0ea9e1fe-a485-40f3-b93a-061f43f19554 · inbound

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories cites this paper.

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories Learning to Generate Instruction Tuning Datasets for Zero-Shot Task Adaptation

Reference 83

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:26:26.683363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T10:56:13.058872Z digest=sha256:bc60b802492a2d0cb05b8f88fd648334130a48f7a9124863e3b6d64d61348fc9

Observation 4178797d-4c31-4678-b031-3e998fe059b9 · inbound

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories cites this paper.

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories Learning to Generate Instruction Tuning Datasets for Zero-Shot Task Adaptation

Reference 83

Resolution
unresolved
no resolver link, observed 2026-07-13T07:44:25.325808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T07:44:25.325808Z digest=sha256:0da82e2b23055f4b4d208855a52bcadc0932904bd5cc3687d57f0b65b5cba3c2

Observation 808cf4fb-badd-45d7-8f65-3b8326106b25 · inbound

HSS-Synth: Humanities and Social Sciences Data Synthesis for LLMs cites this paper.

HSS-Synth: Humanities and Social Sciences Data Synthesis for LLMs Learning to Generate Instruction Tuning Datasets for Zero-Shot Task Adaptation

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-01T08:29:25.573305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T08:29:25.573305Z digest=sha256:c0c317877d42d8c27f913818b7c3381f2fda682a3505cc8e83fe5a66ef2610b7