Pith. sign in

Paper Citation Record · LEDGER

ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge

As of 7 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 4 inbound Pith citation observations for arXiv:2507.21990.

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

pith.paper-citation-record.v1
2507.21990 v4

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-19T03:29:23.464348Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T02:47:11.200762Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-02T03:46:32.840635Z

Reference resolution

28 of 28 outbound references displayed

  • verified exact19
  • verified fuzzy4
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0bf614df-28ab-462f-aec1-9e9a04f801f1 · outbound

This paper cites GPT-4 Technical Report.

ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge GPT-4 Technical Report

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-19T03:32:01.528850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T03:29:23.464348Z digest=sha256:a00656a0eb7e4236aa2ac91c50533caeb4425867086a3933a795781b232f3f0e

Observation 378f0598-95ef-4de4-b0fa-76234cc0c548 · outbound

This paper cites Language models are few-shot learners.

ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge Language models are few-shot learners

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T03:32:02.263142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T03:29:23.464348Z digest=sha256:5f17313905abaab07d80b556620ce3e32609450a0245f5a84fca890ef9b2f7f1

Observation d5847bfc-ba70-4b97-a5b1-71827f877e5e · outbound

This paper cites Evaluating Large Language Models Trained on Code.

ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge Evaluating Large Language Models Trained on Code

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-05-19T03:32:01.512711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T03:29:23.464348Z digest=sha256:58a30e0082dd1749167fc687c8f2fa5954fc3b330354919714ac85f1eaed6ecc

Observation 334d38a6-ca7e-43e7-9cb4-3a71be45f243 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-05-19T03:32:01.517635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T03:29:23.464348Z digest=sha256:16b824700a813c23451796f94c70738e2c807368b808a8f6f8d71eb73084fa97

Observation e11cf801-ef24-4569-aa48-584de858c0cc · outbound

This paper cites StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback.

ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-19T03:32:01.539614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T03:29:23.464348Z digest=sha256:c6a0a0e187c1932c006bb26526050be49fece69826c2f921c30a0971d8ae98df

Observation 508bdd35-4566-47b9-8d2b-43ae16541465 · outbound

This paper cites 2024 , url =.

ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge 2024 , url =

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T03:32:01.524462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T03:29:23.464348Z digest=sha256:f3ab2762010125570c619ec751b4d9ac5bff7b54ea570a528d63db68c5d18c3a

Observation cf4abe73-f253-47bc-9456-ca50e02c8178 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-05-19T03:32:01.533333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T03:29:23.464348Z digest=sha256:29ddf3264b56f372c4e1d36481e87b75a46f5949b8346111f44dad965c3b60ec

Observation e142ffd6-29d3-4305-bc40-3167fb971922 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge Measuring Massive Multitask Language Understanding

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-05-19T03:32:01.544647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T03:29:23.464348Z digest=sha256:803c54843671dae43a48abcce17e0ce205193c5e857e164eedc2802991816277

Observation c9669d7b-dffd-4470-93c9-00c9c5fd4463 · outbound

This paper cites ChemEval: A Comprehensive Multi-Level Chemical Evaluation for Large Language Models.

ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge ChemEval: A Comprehensive Multi-Level Chemical Evaluation for Large Language Models

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-19T03:32:01.586660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T03:29:23.464348Z digest=sha256:9f36d0bbb003780503baa61fce697314dda8fb17539eea74737e268a4294ba14

Observation 0c043aee-8942-4f0c-aba7-40bd999e8562 · outbound

This paper cites Qwen2.5-Coder Technical Report.

ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge Qwen2.5-Coder Technical Report

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-05-19T03:32:01.549215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T03:29:23.464348Z digest=sha256:05ba9b79ff080147890b95c95ce9bd63fee94a24c83f51807f94c87f98057c1d

Observation 72f309d0-83ba-4f1f-893e-c44e3b023b6b · outbound

This paper cites GPT-4o System Card.

ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge GPT-4o System Card

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-05-19T03:32:01.595008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T03:29:23.464348Z digest=sha256:6c0cc205b419a18e4e86513edc220870385018223cf7cfd4a2aa43b9b2e9d6dc

Observation 3bcf737c-cdf7-4d54-bc35-b2e808f1bae1 · outbound

This paper cites OpenAI o1 System Card.

ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge OpenAI o1 System Card

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-05-19T03:32:01.624288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T03:29:23.464348Z digest=sha256:78f6dca2fa46f459e29d3ed0ff22c0b9ed0ab9a7660fdadc68d3e996da745bdf

Observation 040dda2f-73b3-404a-97a1-eff82fe34206 · outbound

This paper cites A survey on speech large language models.

ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge A survey on speech large language models

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T03:32:01.629737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T03:29:23.464348Z digest=sha256:9eb5f36af91a6c705596257046f6e77ea638bdad8dfb273cfe0f59b99e4789d5

Observation 993c9676-e3cd-4be9-99a8-284b9c019880 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-05-19T03:32:01.554525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T03:29:23.464348Z digest=sha256:05fe565040098c683b3f31e84d665606de23b664c78c01e9ab2e8d97998c95ae

Observation 8f9a9d04-c612-46f9-9307-10319994c575 · outbound

This paper cites ChemMLLM: Chemical Multimodal Large Language Model.

ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge ChemMLLM: Chemical Multimodal Large Language Model

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-19T03:32:01.606537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T03:29:23.464348Z digest=sha256:a065f085d4d2c132d44c271fb3974f4184f449358c5525ea78436d4f76850a5f

Observation d04a6101-5c51-4c15-8490-4a3271c5c81a · outbound

This paper cites Galactica: A Large Language Model for Science.

ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge Galactica: A Large Language Model for Science

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-05-19T03:32:01.620050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T03:29:23.464348Z digest=sha256:0cb1c292daa083f6d4eb7b9924602cf1424c3971195c0effaa2cdd75210ab15e

Observation 3971d3b2-d010-484c-ab74-6bb2bc2fe7a1 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge Gemini: A Family of Highly Capable Multimodal Models

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-05-19T03:32:01.560270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T03:29:23.464348Z digest=sha256:24384d77e2a74c18f3a8ad77dd6500791b044e27bbf090f687705c35c168ed05

Observation cdc8a545-7cdc-4b37-8d5b-ca1b96c3f2dc · outbound

This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.

ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-05-19T03:32:01.610665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T03:29:23.464348Z digest=sha256:1662651b34c6e4ba7943f8dd63b4540d393f98d549aff4367524b72fcb75a512

Observation 55d14a66-e979-4171-89b7-f9e93e402475 · outbound

This paper cites SciQAG: A Framework for Auto-Generated Science Question Answering Dataset with Fine-grained Evaluation.

ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge SciQAG: A Framework for Auto-Generated Science Question Answering Dataset with Fine-grained Evaluation

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T03:32:01.565921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T03:29:23.464348Z digest=sha256:5b50a6e961765f9b72f24373218bba7630926056aa5ba68f84ee7e09e7c13fa3

Observation 83204230-355d-4673-b5fb-e4eb908ce111 · outbound

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

ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge DARWIN Series: Domain Specific Large Language Models for Natural Science

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T03:32:01.600015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T03:29:23.464348Z digest=sha256:331ea4c58175e7e859f557540b6ba003dbbcb881f7e55169d33767e145379f77

Observation 548b343c-c92b-4ebb-ab0c-c55a0b25ecf5 · outbound

This paper cites Qwen2.5 Technical Report.

ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge Qwen2.5 Technical Report

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-05-19T03:32:01.581039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T03:29:23.464348Z digest=sha256:227e50967263afa2fe8aedc7e5e9509f867085d9fad0afce3276276a72c18b54

Observation 597ba1d4-cebd-4e64-b4d3-f95acc88f33c · outbound

This paper cites LlaSMol: Advancing Large Language Models for Chemistry with a Large-Scale, Comprehensive, High-Quality Instruction Tuning Dataset.

ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge LlaSMol: Advancing Large Language Models for Chemistry with a Large-Scale, Comprehensive, High-Quality Instruction Tuning Dataset

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T03:32:01.576312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T03:29:23.464348Z digest=sha256:721a418ca161b4da8bb5adf232387079d2c77ac5ff819edae43e6036033e44a4

Observation 8984ba1e-2c36-4f0b-a2f5-497514665e25 · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-05-19T03:32:01.590888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T03:29:23.464348Z digest=sha256:261a31c85f9a49160927d7e9d7905ae0b72c97bd88d653aca6cf56930253c76b

Observation 4e907083-f79d-4780-808c-a7b7d4818339 · outbound

This paper cites ChemLLM: A Chemical Large Language Model.

ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge ChemLLM: A Chemical Large Language Model

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-19T03:32:01.615975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T03:29:23.464348Z digest=sha256:e415044c7255cb0b4ea8d7b354e619092b8a42a7b1101c317caaa4bbe6c9ef52

Observation 2f6d4022-9efb-4089-adef-d9ac1c8562a9 · outbound

This paper cites DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence.

ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-05-19T03:32:01.570609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T03:29:23.464348Z digest=sha256:a2ea6bdfd4ab0a701fb8045f1b84300f959ec0a58c1599564b5bf999b6dfde86

Observation 92f3f466-6690-4872-a218-0458da185511 · outbound

This paper cites The data is constructed from PubChem5.

ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge The data is constructed from PubChem5

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T03:32:02.256267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T03:29:23.464348Z digest=sha256:0cd8ec459d8977eb23f6a5431e03e5fb364a3b3fda5180477e7c33fdb36bf276

Observation e55e4692-cdc1-4899-b0e6-d1d9b7da1b56 · outbound

This paper cites The rational merely repeats the IUPAC components mentioned in the question before rushing to a highly inaccurate conclusion without substantive analysis.

ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge The rational merely repeats the IUPAC components mentioned in the question before rushing to a highly inaccurate conclusion without substantive analysis

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T03:32:02.259669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T03:29:23.464348Z digest=sha256:74a8b7e04210a0a0e0cbbabe983f8212b863544b0f296fa2450d16279ff25a1f

Observation c2e3be02-fd91-4044-9ae1-907b77bd5f1d · outbound

This paper cites shortcuts.

ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge shortcuts

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T03:32:02.252993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T03:29:23.464348Z digest=sha256:e1925aa92d8c057f9957b09b0609968d9ece6d6b001675cca5ed7f7b77785732

Pith citing papers

Observation 3ad3ba6b-6248-4c61-87ac-be90e81aec56 · inbound

Mol-Debate: Multi-Agent Debate Improves Structural Reasoning in Molecular Design cites this paper.

Mol-Debate: Multi-Agent Debate Improves Structural Reasoning in Molecular Design ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge

Reference 8

Resolution
metadata mismatch
local_arxiv, observed 2026-05-10T00:49:48.991446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T00:42:32.617355Z digest=sha256:d0e4f424a6f833c0ac9804f67f5cbaf2f13858396c283ebddd65dd1739f44004

Observation 8ab1bcec-81a9-4ed2-8376-8480f8d91d6c · inbound

MolDeTox: Evaluating Language Model's Stepwise Fragment Editing for Molecular Detoxification cites this paper.

MolDeTox: Evaluating Language Model's Stepwise Fragment Editing for Molecular Detoxification ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-13T05:27:18.723245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T05:22:35.936470Z digest=sha256:16ae9f3354e63b9b173aefe4d1f3753f17fde351dcba779e042a9a089afd1546

Observation 2abdcef1-ccec-4dcf-a169-81844538e682 · inbound

From Answers to States: Verifiable Process-Level Evaluation of Chemical Reasoning in Large Language Models cites this paper.

From Answers to States: Verifiable Process-Level Evaluation of Chemical Reasoning in Large Language Models ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge

Reference 81

Resolution
verified exact
local_arxiv, observed 2026-07-02T03:46:32.841945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T09:42:02.298729Z digest=sha256:607fa39babbde33c636d2a0bb0ef87186aa2d125df87c904e119a85664f11637

Observation ee4002d6-5e58-4915-9479-e13e9109f617 · inbound

Divergence Decoding: Training-Free Capability Fusion cites this paper.

Divergence Decoding: Training-Free Capability Fusion ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-01T02:47:11.200762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:47:11.200762Z digest=sha256:7621840efaf1cbdb2f30b739fd386576df5da1b285e9d724c3f6756cfb1f4381