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Paper Citation Record · LEDGER

Instruction Pre-Training: Language Models are Supervised Multitask Learners

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2406.14491.

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

pith.paper-citation-record.v1
2406.14491 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:33:12.947220Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T17:42:47.476744Z

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 0691dff5-2c15-4e52-8dd7-fb51a2729c7c · inbound

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

A Survey of LLM $\times$ DATA Instruction Pre-Training: Language Models are Supervised Multitask Learners

Reference 99

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:12.947220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:33:12.947220Z digest=sha256:9095bde0774695b7a5f5cda8c2756256ae569add2e26b1512ff30851af2b4cdd

Observation 09129784-ddc4-4900-8e7b-6dd509a19915 · inbound

Localizing Persona Representations in LLMs cites this paper.

Localizing Persona Representations in LLMs Instruction Pre-Training: Language Models are Supervised Multitask Learners

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-07T12:25:36.407520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:25:36.407520Z digest=sha256:67adce15fb535e3955b575f099a9fa417266ec8b329b65cf0e3e7125b478418b

Observation 970e872e-43f5-4208-8d18-28c9c639f3b6 · inbound

Does Learning Mathematical Problem-Solving Generalize to Broader Reasoning? cites this paper.

Does Learning Mathematical Problem-Solving Generalize to Broader Reasoning? Instruction Pre-Training: Language Models are Supervised Multitask Learners

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T19:53:34.395440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:53:34.395440Z digest=sha256:2f126e7d23dd0cb0e387263e3198b4614e660d8efb9ab43b35d896a6e0ed57ab

Observation 1750ef90-b37e-47b8-aae6-84a7d3c63dfc · inbound

Using Scaling Laws for Data Source Utility Estimation in Domain-Specific Pre-Training cites this paper.

Using Scaling Laws for Data Source Utility Estimation in Domain-Specific Pre-Training Instruction Pre-Training: Language Models are Supervised Multitask Learners

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-06T11:59:52.173406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:59:52.173406Z digest=sha256:2bf4720b72f329a4cb1d5b8bee65f395682680aed275bcc697b129dc05b0bb41

Observation e652c0d0-a0c1-44bc-9b72-edfcb66a5383 · inbound

Towards EnergyGPT: A Large Language Model Specialized for the Energy Sector cites this paper.

Towards EnergyGPT: A Large Language Model Specialized for the Energy Sector Instruction Pre-Training: Language Models are Supervised Multitask Learners

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-18T17:42:47.480310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T17:39:17.456350Z digest=sha256:78995165fe8a450af736fa069daa1cea30e0efe72e5df950c93a8687ee75106b

Observation ec71bfdf-bf7b-4515-a8d4-587a04b1b7f0 · inbound

How Low Can We Go? Minimum Spectroscopic Requirements For Supernova Subtype Classification cites this paper.

How Low Can We Go? Minimum Spectroscopic Requirements For Supernova Subtype Classification Instruction Pre-Training: Language Models are Supervised Multitask Learners

Reference 77

Resolution
unresolved
no resolver link, observed 2026-07-12T01:49:47.560255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T01:49:47.560255Z digest=sha256:5a3b72b38a2a3ef924de6b1d65c0654fed61f0c7330e0339497bca5fecd54a8d