Paper Citation Record · LEDGER

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

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 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 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:59:32.899693Z

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 a99848b1-a56b-4a50-be18-88bb8effc9ba · inbound

Foundational Large Language Models for Materials Research cites this paper.

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

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T16:59:32.899693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec480e8f-102c-4a77-ac75-f2f743eb0e22 · inbound

Hypothesis Generation for Materials Discovery and Design Using Goal-Driven and Constraint-Guided LLM Agents cites this paper.

Hypothesis Generation for Materials Discovery and Design Using Goal-Driven and Constraint-Guided LLM Agents HoneyBee: Progressive Instruction Finetuning of Large Language Models for Materials Science

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T16:21:49.972376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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.

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.

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.

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 2026-08-22T06:32:14.747728+00:00.

Observation 1666ff95-95c1-4cab-9d3f-baad57d46424 · inbound

Science Edge Evaluation: SEE the Missing Step Toward Real Scientific Discovery cites this paper.

Science Edge Evaluation: SEE the Missing Step Toward Real Scientific Discovery HoneyBee: Progressive Instruction Finetuning of Large Language Models for Materials Science

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T18:12:45.633474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.