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Paper Citation Record · LEDGER

PolymerGPT: Multi-property Optimization with a Decoder-Based GPT Model for Generative Polymer Design

As of 22 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2608.01431.

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

pith.paper-citation-record.v1
2608.01431 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:14:34.677953Z

measured 15 of 15 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 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

15 of 15 outbound references displayed

  • verified exact2
  • verified fuzzy10
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8f9b3a05-7af4-4108-97d7-d9533cfa2c06 · outbound

This paper cites Nature Communications , volume =.

PolymerGPT: Multi-property Optimization with a Decoder-Based GPT Model for Generative Polymer Design Nature Communications , volume =

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:14:37.685294Z

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.

source=arxiv_source observed=2026-08-06T00:14:33.764421Z digest=sha256:5c02a357785f215457ea69c06434833007ce9e6688c2274a9e7caba4ca45339a

Observation de1b7c14-1cd3-49e5-97ca-8d5c3b08e7f2 · outbound

This paper cites an unresolved cited work.

PolymerGPT: Multi-property Optimization with a Decoder-Based GPT Model for Generative Polymer Design Unresolved cited work

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T00:14:33.839156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:14:33.839156Z digest=sha256:06cf9287ec7678eb2a4aba17dd795a83951fe712193f859d04bb8122086c4de0

Observation 820a6207-a12f-4c16-b647-af5075f51a42 · outbound

This paper cites and Xiong, W.

PolymerGPT: Multi-property Optimization with a Decoder-Based GPT Model for Generative Polymer Design and Xiong, W

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:14:37.400444Z

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.

source=arxiv_source observed=2026-08-06T00:14:33.896771Z digest=sha256:f3a792031671393c9caaff72ed4d24b710810c7a18f11c739fa075f891d7471d

Observation fd942f77-6b03-4847-b5b4-74efa8d5778d · outbound

This paper cites npj Computational Materials , volume =.

PolymerGPT: Multi-property Optimization with a Decoder-Based GPT Model for Generative Polymer Design npj Computational Materials , volume =

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:14:37.194006Z

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.

source=arxiv_source observed=2026-08-06T00:14:33.952045Z digest=sha256:dfe33685bc42454303b3fdc92c665e5c822971a284217e669beee3449eadbbe3

Observation 07a9d2f3-2962-4d5b-8f2a-b86e17c83902 · outbound

This paper cites npj Computational Materials , year =.

PolymerGPT: Multi-property Optimization with a Decoder-Based GPT Model for Generative Polymer Design npj Computational Materials , year =

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T00:14:34.008399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:14:34.008399Z digest=sha256:41d1d89a6bcd7a4dfad4f39d393eb89a265debc52394b2140b9b3212019a4bb9

Observation c442acda-7c68-49f6-9588-e1c4b1d200cf · outbound

This paper cites Chemical Science , year =.

PolymerGPT: Multi-property Optimization with a Decoder-Based GPT Model for Generative Polymer Design Chemical Science , year =

Reference 6

Resolution
verified exact
doi, observed 2026-08-06T00:14:35.211711Z

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.

source=arxiv_source observed=2026-08-06T00:14:34.075391Z digest=sha256:f8ea1905edc871e425d105a1264d9a625d628f96d3b79fa9eeae0ca98c85ddc5

Observation 04aa4810-cc45-4241-ab02-a34a55e237db · outbound

This paper cites Digital Discovery , year =.

PolymerGPT: Multi-property Optimization with a Decoder-Based GPT Model for Generative Polymer Design Digital Discovery , year =

Reference 7

Resolution
verified exact
doi, observed 2026-08-06T00:14:34.971202Z

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.

source=arxiv_source observed=2026-08-06T00:14:34.130953Z digest=sha256:70693e0f0fb0a1153f554b096f31173a9201496f2a5583a604606d72ff54e679

Observation d80a729e-4770-4610-989a-f3ced7e8375a · outbound

This paper cites 2023 , howpublished =.

PolymerGPT: Multi-property Optimization with a Decoder-Based GPT Model for Generative Polymer Design 2023 , howpublished =

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:14:36.958633Z

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.

source=arxiv_source observed=2026-08-06T00:14:34.200343Z digest=sha256:752b8684e01b290bcfa2df02eca39404f97ecd6c24baffbe4172318a8370144d

Observation 48166dc3-8b5d-4f24-8f8c-13c2521553cd · outbound

This paper cites 2022 , howpublished =.

PolymerGPT: Multi-property Optimization with a Decoder-Based GPT Model for Generative Polymer Design 2022 , howpublished =

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:14:36.687797Z

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.

source=arxiv_source observed=2026-08-06T00:14:34.291419Z digest=sha256:aa2201c569bdfb3f4d83dc11c671f3169833736411c378a196d2638b5fc663bf

Observation ece7863a-ae22-461f-b884-4c8fa8c716ae · outbound

This paper cites Chemistry of Materials , volume=.

PolymerGPT: Multi-property Optimization with a Decoder-Based GPT Model for Generative Polymer Design Chemistry of Materials , volume=

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:14:36.467889Z

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.

source=arxiv_source observed=2026-08-06T00:14:34.345932Z digest=sha256:e04694e312a4d6612cf13eb9fd978037787e8da573e844a0fffa0bbdf8c04985

Observation f2539415-9f1d-4df8-b9f2-1332a2b7cda2 · outbound

This paper cites Accounts of Materials Research , volume=.

PolymerGPT: Multi-property Optimization with a Decoder-Based GPT Model for Generative Polymer Design Accounts of Materials Research , volume=

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:14:36.273782Z

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.

source=arxiv_source observed=2026-08-06T00:14:34.393921Z digest=sha256:0c1bcc9ce7d905d3825270452c09c8714aff0c6232c342a4d0451e5db198e9bf

Observation 3adaf57e-7a69-4faa-9561-284115568f23 · outbound

This paper cites Proceedings of the 2018 conference on empirical methods in natural language processing: System demonstrations , pages=.

PolymerGPT: Multi-property Optimization with a Decoder-Based GPT Model for Generative Polymer Design Proceedings of the 2018 conference on empirical methods in natural language processing: System demonstrations , pages=

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T00:14:34.451444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:14:34.451444Z digest=sha256:6f30400af0a9601757895080f1c7bb43aea842ba4799d1f6ed82d7842fb0d73d

Observation 94846d53-881f-4890-9e72-d543aaf77e13 · outbound

This paper cites Chemistry of Materials , volume=.

PolymerGPT: Multi-property Optimization with a Decoder-Based GPT Model for Generative Polymer Design Chemistry of Materials , volume=

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:14:36.007431Z

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.

source=arxiv_source observed=2026-08-06T00:14:34.557542Z digest=sha256:782099a0515d857778649f21f390a82dc1aaabf1cfc5925ec20b4fd1bca69fd3

Observation 7ec140d7-93c7-4200-ae91-5b35fe0711e1 · outbound

This paper cites Journal of Chemical Information and Modeling , volume=.

PolymerGPT: Multi-property Optimization with a Decoder-Based GPT Model for Generative Polymer Design Journal of Chemical Information and Modeling , volume=

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:14:35.746100Z

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.

source=arxiv_source observed=2026-08-06T00:14:34.602101Z digest=sha256:27cf3cae82dcb06ad20bfbb3c636088ca7b56ab34c59a0e1360f754e5075e068

Observation 449e7877-85b6-4568-8329-a53700fb2bea · outbound

This paper cites ACS Polymers Au , volume=.

PolymerGPT: Multi-property Optimization with a Decoder-Based GPT Model for Generative Polymer Design ACS Polymers Au , volume=

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:14:35.484391Z

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.

source=arxiv_source observed=2026-08-06T00:14:34.677953Z digest=sha256:ef6ca1c357c5649eed7ee0f0b46ca57f52ddac9692042d148e03d73a4568da26

Pith citing papers

No inbound Pith citation observations are available.