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Paper Citation Record · LEDGER

HoneyBee: Progressive Instruction Finetuning of Large Language Models for Materials Science

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2310.08511.

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

pith.paper-citation-record.v1
2310.08511 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:37:30.940777Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T22:46:01.645308Z

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 9fb76ad5-16be-484a-865c-860845309415 · inbound

Seeing Beyond Words: MatVQA for Challenging Visual-Scientific Reasoning in Materials Science cites this paper.

Seeing Beyond Words: MatVQA for Challenging Visual-Scientific Reasoning in Materials Science HoneyBee: Progressive Instruction Finetuning of Large Language Models for Materials Science

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T14:37:30.940777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:37:30.940777Z digest=sha256:e8f652c4aeaa48ada4ca3e5522e8eb2b0f965374c57ce8af9e6cf24f7cd49efe

Observation 54a4264e-9193-4c0e-b58d-a568a2d0b196 · inbound

ScienceMeter: Tracking Scientific Knowledge Updates in Language Models cites this paper.

ScienceMeter: Tracking Scientific Knowledge Updates in Language Models HoneyBee: Progressive Instruction Finetuning of Large Language Models for Materials Science

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T12:34:46.017917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:34:46.017917Z digest=sha256:f84f5fc90828121413293cfbe0edd9e9b81e22ecaddfe15cdf7a32b03062cdfb

Observation ff1c93ac-0022-4c77-a81c-cca892f285ff · inbound

Incorporating Domain Knowledge into Materials Tokenization cites this paper.

Incorporating Domain Knowledge into Materials Tokenization HoneyBee: Progressive Instruction Finetuning of Large Language Models for Materials Science

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T05:38:26.126009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:38:26.126009Z digest=sha256:44b8de4e9fbe4284f09bf02191acea1b049e69516c4a26370f0d3e7f58f5051f

Observation c882da2a-ff03-43db-a930-b09979ed6be2 · inbound

A Survey of AI for Materials Science: Foundation Models, LLM Agents, Datasets, and Tools cites this paper.

A Survey of AI for Materials Science: Foundation Models, LLM Agents, Datasets, and Tools HoneyBee: Progressive Instruction Finetuning of Large Language Models for Materials Science

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:46:01.650991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:45:53.164887Z digest=sha256:8759fd466c2309bdd656fa3b5903e6dd353e05286b0971f4959a907f9a612155