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Paper Citation Record · LEDGER

Did You Read the Instructions? Rethinking the Effectiveness of Task Definitions in Instruction Learning

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2306.01150.

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

pith.paper-citation-record.v1
2306.01150 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:57:27.631484Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T02:39:33.266593Z

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 9c8de203-3460-4dd5-90e1-9d8bfb5f77ed · inbound

A Survey on Efficient Inference for Large Language Models cites this paper.

A Survey on Efficient Inference for Large Language Models Did You Read the Instructions? Rethinking the Effectiveness of Task Definitions in Instruction Learning

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:39:33.268435Z

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.

source=pdf_text observed=2026-05-15T02:39:33.007894Z digest=sha256:9e29aa7aa9d9cc0f22296d76b0364beb290e1689501d546412b71dc31b2ddd9c

Observation 24c578fc-d579-4638-a711-602f533774ae · inbound

FTP: A Fine-grained Token-wise Pruner for Large Language Models via Token Routing cites this paper.

FTP: A Fine-grained Token-wise Pruner for Large Language Models via Token Routing Did You Read the Instructions? Rethinking the Effectiveness of Task Definitions in Instruction Learning

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-11T14:57:27.631484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:57:27.631484Z digest=sha256:d47fc442bf1e9d10d8b293a3d2185e1f3697775ed44239f962b32d9ddafad191

Observation 02d9f46b-5130-4875-a0db-bc4f9235d505 · inbound

Model Context Protocol (MCP) Tool Descriptions Are Smelly! Towards Improving AI Agent Efficiency with Augmented MCP Tool Descriptions cites this paper.

Model Context Protocol (MCP) Tool Descriptions Are Smelly! Towards Improving AI Agent Efficiency with Augmented MCP Tool Descriptions Did You Read the Instructions? Rethinking the Effectiveness of Task Definitions in Instruction Learning

Reference 113

Resolution
unresolved
no resolver link, observed 2026-08-02T23:04:39.322647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:04:39.322647Z digest=sha256:a2b9cc8a554e742247b95f6d43e58f4ab8493fe6953b15c6597a26951461681d