Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:37:30.940777Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T22:46:01.645308Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 9fb76ad5-16be-484a-865c-860845309415 · inbound
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
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 HoneyBee: Progressive Instruction Finetuning of Large Language Models for Materials Science
Reference 49
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 HoneyBee: Progressive Instruction Finetuning of Large Language Models for Materials Science
Reference 34
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 HoneyBee: Progressive Instruction Finetuning of Large Language Models for Materials Science
Reference 56
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.