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Paper Citation Record · LEDGER

Polymetis:Large Language Modeling for Multiple Material Domains

As of 18 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2411.08728.

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

pith.paper-citation-record.v1
2411.08728 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:28:51.703022Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

22 of 22 outbound references displayed

  • verified exact0
  • verified fuzzy8
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3ab7e3e5-6fce-4811-9522-2ef2a09298c4 · outbound

This paper cites GPT-4 Technical Report.

Polymetis:Large Language Modeling for Multiple Material Domains GPT-4 Technical Report

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T21:28:51.628081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:28:51.628081Z digest=sha256:ed25dae2df0fd26e1dd96f92b76de6e640de3ab9036254000658dc6c2377ca69

Observation 32ee2199-f66b-426e-8ac2-87a2cbb76e61 · outbound

This paper cites Matchat: A large language model and application service platform for materials science.

Polymetis:Large Language Modeling for Multiple Material Domains Matchat: A large language model and application service platform for materials science

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:28:51.904290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-12T21:28:51.632258Z digest=sha256:82ca561d7bf2b61d7059acff77286e2d55a0565cef11e3faaf651dbae3bbe0f0

Observation 0295c0e1-bf7c-471b-97e6-4774943a1e61 · outbound

This paper cites Vicuna: An open-source chatbot impressing gpt-4 with 90\ See https://vicuna.

Polymetis:Large Language Modeling for Multiple Material Domains Vicuna: An open-source chatbot impressing gpt-4 with 90\ See https://vicuna

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-12T21:28:51.635645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:28:51.635645Z digest=sha256:b57aae9eebf2f5bb58adb79ec879ff647ce5ae86d723c3f98db26f0a473f4f4c

Observation 5de5836b-bf05-4e85-ae3b-119e7829d260 · outbound

This paper cites Word2vec.

Polymetis:Large Language Modeling for Multiple Material Domains Word2vec

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:28:51.889398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-12T21:28:51.639101Z digest=sha256:75fc941c4a7858f24dae6bbd8ef6c4e328e22b83084f318655b05072e2e8cd6e

Observation 91c4ed64-0b24-4178-83fd-30b792966982 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Polymetis:Large Language Modeling for Multiple Material Domains BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-12T21:28:51.642530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:28:51.642530Z digest=sha256:544d7ca25b321dac724e2f8af4fd68a6a777a15bcb5554b634b8b29e599a2560

Observation 18cbd2d5-fd28-4a41-b845-8182c4755dd4 · outbound

This paper cites GLM: General Language Model Pretraining with Autoregressive Blank Infilling.

Polymetis:Large Language Modeling for Multiple Material Domains GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T21:28:51.646190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:28:51.646190Z digest=sha256:531a13799826c4f16aa80615d0fdfc3ae304fdc08d5f4cc4f690b2d8e40101a3

Observation 55625c39-32f1-4b66-9da9-e43e724526e2 · outbound

This paper cites Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models.

Polymetis:Large Language Modeling for Multiple Material Domains Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-12T21:28:51.650116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:28:51.650116Z digest=sha256:26c4d155a5a583093e4aff6e520fb35e14e56afadb71a1ba6806f9c738495c41

Observation 63dd14e0-c76f-447c-aeea-093d97041075 · outbound

This paper cites Is gpt-3 all you need for low-data discovery in chemistry? 2023.

Polymetis:Large Language Modeling for Multiple Material Domains Is gpt-3 all you need for low-data discovery in chemistry? 2023

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:28:51.880046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-12T21:28:51.653712Z digest=sha256:dcb8b812ffccadc39c091213937297458c21a87a84a73a8d8f635c9816be6dd1

Observation 6b3766fd-f4e0-460d-ab4a-75c801bcacf3 · outbound

This paper cites Opportunities and challenges of text mining in materials research.

Polymetis:Large Language Modeling for Multiple Material Domains Opportunities and challenges of text mining in materials research

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:28:51.869226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-12T21:28:51.657267Z digest=sha256:93b641372a7b3e7fe010eff2601b0a698709c745e75ba1bd79803e59b10573b3

Observation b9f8a686-bbe6-4f3d-aff4-0a21d42f23b5 · outbound

This paper cites Training language models to follow instructions with human feedback.

Polymetis:Large Language Modeling for Multiple Material Domains Training language models to follow instructions with human feedback

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T21:28:51.660572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:28:51.660572Z digest=sha256:c9730249bcbc9419df59472fbc0942ea785f779cd920fcb6d0ef18cd4cd8097f

Observation a6f91337-7ef1-4eb0-ad85-29ae1eb47b2c · outbound

This paper cites RWKV: Reinventing RNNs for the Transformer Era.

Polymetis:Large Language Modeling for Multiple Material Domains RWKV: Reinventing RNNs for the Transformer Era

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T21:28:51.664602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:28:51.664602Z digest=sha256:d46229e177f63b6312a3a2c09facf996f60a208088a9c840eece00c899fb5651

Observation cc30bd7e-2b70-46ca-a20b-ae54d8e38b04 · outbound

This paper cites ERNIE: Enhanced Representation through Knowledge Integration.

Polymetis:Large Language Modeling for Multiple Material Domains ERNIE: Enhanced Representation through Knowledge Integration

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T21:28:51.668533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:28:51.668533Z digest=sha256:dc0abe4087556b4d838371396bb28c1950fe0e8402abe5e37a0017874fbf0b04

Observation 2f5f37ba-dbfd-4bf5-a44a-311fd4a80083 · outbound

This paper cites Ernie 2.0: A continual pre-training framework for language understanding.

Polymetis:Large Language Modeling for Multiple Material Domains Ernie 2.0: A continual pre-training framework for language understanding

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:28:51.854254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-12T21:28:51.672184Z digest=sha256:c8825909a2a8aafb2f90e7e180a1e011835ef2955586bff2c9c07620277ae181

Observation 8ec607ab-a72d-4c03-b0c6-2b04041d7092 · outbound

This paper cites ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation.

Polymetis:Large Language Modeling for Multiple Material Domains ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-12T21:28:51.675293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:28:51.675293Z digest=sha256:48b9544cf69ea5dde274ec678c0c68347674d9cdc1704c7dc122e0179d4bb14a

Observation b99a8c11-9132-49c7-8088-d201589bc8b4 · outbound

This paper cites Stanford alpaca: An instruction-following llama model, 2023.

Polymetis:Large Language Modeling for Multiple Material Domains Stanford alpaca: An instruction-following llama model, 2023

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-12T21:28:51.678933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:28:51.678933Z digest=sha256:d367bbfd208a6973dbaa21a272addb66a5450cb3cf18822f89cccf664cf9a221

Observation b163f6d0-924d-4e8c-a9ab-224f57dabb6d · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Polymetis:Large Language Modeling for Multiple Material Domains LLaMA: Open and Efficient Foundation Language Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-12T21:28:51.682287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:28:51.682287Z digest=sha256:30ef72de6ed21fc49d691dcc63f8bc59bd240bb09def8817db4ec8e4d916f5bb

Observation 090eece8-0736-49db-8276-77dd8b748643 · outbound

This paper cites Looking through glass: Knowledge discovery from materials science literature using natural language processing.

Polymetis:Large Language Modeling for Multiple Material Domains Looking through glass: Knowledge discovery from materials science literature using natural language processing

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:28:51.839313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-12T21:28:51.685797Z digest=sha256:979d028257f0d958e940804c2f779aba05b694a283a0cf31d741ba850e9c92bd

Observation 3b1ab5f7-4425-4ec3-982b-e59c52dd987b · outbound

This paper cites Evaluating word embedding models: Methods and experimental results.

Polymetis:Large Language Modeling for Multiple Material Domains Evaluating word embedding models: Methods and experimental results

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:28:51.829375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-12T21:28:51.689028Z digest=sha256:d8581bbfd7a51cdf194f9e7780a5b993688a314ed5f0a7638c18c59948bff818

Observation ee52240b-e452-4980-8fe9-b88f6ab54e0e · outbound

This paper cites Self-Instruct: Aligning Language Models with Self-Generated Instructions.

Polymetis:Large Language Modeling for Multiple Material Domains Self-Instruct: Aligning Language Models with Self-Generated Instructions

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-12T21:28:51.692087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:28:51.692087Z digest=sha256:58d7265157af01d8778f74941e17287adfc85d252cb9942433fbadd493fe4656

Observation ec71a977-93df-4e22-8fea-fbb42cd31135 · outbound

This paper cites Named entity recognition and normalization applied to large-scale information extraction from the materials science literature.

Polymetis:Large Language Modeling for Multiple Material Domains Named entity recognition and normalization applied to large-scale information extraction from the materials science literature

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:28:51.819715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-12T21:28:51.695682Z digest=sha256:f9720190e19e99109b6d2a5b91a6b0647176a28b5aaa169294ba083f8d1fac20

Observation 0e51d958-8496-43bc-b96f-e7a0191bfe4c · outbound

This paper cites DARWIN Series: Domain Specific Large Language Models for Natural Science.

Polymetis:Large Language Modeling for Multiple Material Domains DARWIN Series: Domain Specific Large Language Models for Natural Science

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-12T21:28:51.699142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:28:51.699142Z digest=sha256:13ca82b4e48f173ab22300b9229cd5f136b01c30a1b0456a31b41371430d6bab

Observation bd878652-75dc-4f26-8841-618abc3fb708 · outbound

This paper cites write newline.

Polymetis:Large Language Modeling for Multiple Material Domains write newline

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-12T21:28:51.703022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:28:51.703022Z digest=sha256:4721729037c9c43130c06fe42090665924e5645e29dac2397d1c9d5050b4138d

Pith citing papers

No inbound Pith citation observations are available.