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Paper Citation Record · LEDGER

SpecXMaster Technical Report

As of 9 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 1 inbound Pith citation observation for arXiv:2603.23101.

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

pith.paper-citation-record.v1
2603.23101 v3

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T17:38:43.020803Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T08:14:36.233302Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

53 of 53 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved53
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 96843300-20cb-4c31-a88b-3f74745c263f · outbound

This paper cites gold standard.

SpecXMaster Technical Report gold standard

Reference 1

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source=arxiv_source observed=2026-08-02T17:38:35.491394Z digest=sha256:2f496d15129c8848200ef6684f73ce0821a4a647967e9297b0018e64da13c8f1

Observation aed83219-38de-4154-af1c-9f323da464fd · outbound

This paper cites Schmid, Sterling G.

SpecXMaster Technical Report Schmid, Sterling G

Reference 2

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source=arxiv_source observed=2026-08-02T17:38:35.613109Z digest=sha256:e6be146343e295c3d157b4226cac10c7463f749a173c0285265bb4f050c3e8be

Observation e18204e2-8594-4b0c-9a4a-b56b86580f63 · outbound

This paper cites Granda, Liva Donina, Vincenza Dragone, De-Liang Long, and Leroy Cronin.

SpecXMaster Technical Report Granda, Liva Donina, Vincenza Dragone, De-Liang Long, and Leroy Cronin

Reference 3

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source=arxiv_source observed=2026-08-02T17:38:35.733992Z digest=sha256:515eb5e8e3da740f1cdecb5a7acfc91c6e542972ec06efebe457e59d7d280f10

Observation bd12a2ce-61eb-4c20-91a3-7f6231463427 · outbound

This paper cites Merz, Kenneth M.

SpecXMaster Technical Report Merz, Kenneth M

Reference 4

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source=arxiv_source observed=2026-08-02T17:38:35.856131Z digest=sha256:cc45b82b3bbe86b30fac6fbaebc7200ecf4bcf3c224660bd20738baf0c92bd3b

Observation 7a6314ff-9b19-42bd-a29e-4f846bdbbfd5 · outbound

This paper cites Artificial intelligence in spectroscopy: Advancing chemistry from prediction to generation and beyond.

SpecXMaster Technical Report Artificial intelligence in spectroscopy: Advancing chemistry from prediction to generation and beyond

Reference 5

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source=arxiv_source observed=2026-08-02T17:38:36.056110Z digest=sha256:105df343fd9d454597e2f5d4193d6628207730c5d228d8562cac82856a19b43d

Observation d3d2b7b8-3da6-4708-b11f-7046a08db95b · outbound

This paper cites Toward a unified benchmark and framework for deep learning-based prediction of nuclear magnetic resonance chemical shifts.

SpecXMaster Technical Report Toward a unified benchmark and framework for deep learning-based prediction of nuclear magnetic resonance chemical shifts

Reference 6

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source=arxiv_source observed=2026-08-02T17:38:36.149947Z digest=sha256:380f1827d5434041b26513056b99779f98d169aa21d33e9de5e982c9c1cb850d

Observation 4aa41a22-7637-4638-aded-adbdbc143131 · outbound

This paper cites From human labels to literature: Semi-supervised learning of nmr chemical shifts at scale.

SpecXMaster Technical Report From human labels to literature: Semi-supervised learning of nmr chemical shifts at scale

Reference 7

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source=arxiv_source observed=2026-08-02T17:38:36.305537Z digest=sha256:864ee8e3155921b6d6b5af13e380b5420f7a6a6746fd6f43a55e395ca8e00e87

Observation 8e1765fa-f65e-4399-addf-aaa0379f5886 · outbound

This paper cites Accurate and efficient structure elucidation from routine one-dimensional nmr spectra using multitask machine learning.

SpecXMaster Technical Report Accurate and efficient structure elucidation from routine one-dimensional nmr spectra using multitask machine learning

Reference 8

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source=arxiv_source observed=2026-08-02T17:38:36.475775Z digest=sha256:232a57b42725b14343b25d8c3b9947a3a807c921e29f6cebbfa3b644b5e39bc2

Observation bd876173-ce94-4498-8854-ef5be76ef0a2 · outbound

This paper cites SpectraLLM: Uncovering the Ability of LLMs for Molecular Structure Elucidation from Multi-Spectral Data.

SpecXMaster Technical Report SpectraLLM: Uncovering the Ability of LLMs for Molecular Structure Elucidation from Multi-Spectral Data

Reference 9

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source=arxiv_source observed=2026-08-02T17:38:36.620379Z digest=sha256:51d5e29eb35eb7048480ae567da3842b64f7d1272c20b51a84eeef90aa56a3c2

Observation 96c28266-9f84-4368-888c-32305c3d8ea6 · outbound

This paper cites Molspectllm: A molecular foundation model bridging spectroscopy, molecule elucidation, and 3d structure generation.

SpecXMaster Technical Report Molspectllm: A molecular foundation model bridging spectroscopy, molecule elucidation, and 3d structure generation

Reference 10

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source=arxiv_source observed=2026-08-02T17:38:36.736050Z digest=sha256:2464eeca0df8642f75448673f8b7b869174fc0acc2de72b11a6d5ae3bfd295be

Observation d0c8322c-546e-4de9-8aa8-5e80b66fe68c · outbound

This paper cites Spectro: A multi-modal approach for molecule elucidation using ir and nmr data.

SpecXMaster Technical Report Spectro: A multi-modal approach for molecule elucidation using ir and nmr data

Reference 11

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source=arxiv_source observed=2026-08-02T17:38:36.906601Z digest=sha256:6800b3dafd9746ab522eddd8b7fe4ef9b9a95a9811fa627c72ceaa5fee9cf672

Observation 772e190f-4c7f-4452-a039-9e0224e152fe · outbound

This paper cites NMR-Solver: Automated Structure Elucidation via Large-Scale Spectral Matching and Physics-Guided Fragment Optimization.

SpecXMaster Technical Report NMR-Solver: Automated Structure Elucidation via Large-Scale Spectral Matching and Physics-Guided Fragment Optimization

Reference 12

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source=arxiv_source observed=2026-08-02T17:38:36.997442Z digest=sha256:7cc3d47cf1127abf714e1a18d1e86ecc3f84a7361e8486b0b269e4983cc2e097

Observation e28d56d8-c146-4e11-a2a5-ccefc2a273cf · outbound

This paper cites Deepspinn--deep reinforcement learning for molecular structure prediction from infrared and 13 c nmr spectra.

SpecXMaster Technical Report Deepspinn--deep reinforcement learning for molecular structure prediction from infrared and 13 c nmr spectra

Reference 13

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source=arxiv_source observed=2026-08-02T17:38:37.142921Z digest=sha256:e0b1108526ff0c6229cd8921677ce55911b6eb2e63f3eb461ccc0ac39143e3c2

Observation 4a1e983d-932c-4a77-abcc-c5094f52ca7e · outbound

This paper cites Nmrexp: A database of 3.3 million experimental nmr spectra.

SpecXMaster Technical Report Nmrexp: A database of 3.3 million experimental nmr spectra

Reference 14

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source=arxiv_source observed=2026-08-02T17:38:37.307162Z digest=sha256:24cd349d98272940b451b7f71aa9922aa49a84beaf2b7d75a110ab5a9d004916

Observation f74a76e9-fadc-439d-a4bc-147c60a81a04 · outbound

This paper cites Helmus and Christopher P.

SpecXMaster Technical Report Helmus and Christopher P

Reference 15

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source=arxiv_source observed=2026-08-02T17:38:37.426612Z digest=sha256:9538849f5172820946ac5e9691eea3c53adaba3e9e26b350f8015ffe56bdbd30

Observation 08b204da-6e83-4a25-8594-0725e51af9df · outbound

This paper cites Ernst, Geoffrey Bodenhausen, and Alexander Wokaun.

SpecXMaster Technical Report Ernst, Geoffrey Bodenhausen, and Alexander Wokaun

Reference 16

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source=arxiv_source observed=2026-08-02T17:38:37.558934Z digest=sha256:99b602bf746dc6ae3e04d3ac7ab3f37cc37b034c4689dd1800a96a1d8fefcc15

Observation e6b87557-18e1-4163-884a-da9ad3660831 · outbound

This paper cites Bartholdi and R.

SpecXMaster Technical Report Bartholdi and R

Reference 17

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source=arxiv_source observed=2026-08-02T17:38:37.738340Z digest=sha256:44f47013c2322c16679355042e83003487694df3ecaf826bc5dcc5a2d5f2d7b5

Observation 7d35ab26-1c55-42b8-b10e-fda8ff6a056c · outbound

This paper cites Cooley and John W.

SpecXMaster Technical Report Cooley and John W

Reference 18

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source=arxiv_source observed=2026-08-02T17:38:37.905338Z digest=sha256:7227f9141f3e6496438d3f0c38f20592f8be8a6e10803d48d4e0a29ae09a8059

Observation bc7a91d8-4ef9-4bd3-9611-10b387951368 · outbound

This paper cites An efficient algorithm for automatic phase correction of NMR spectra based on entropy minimization.

SpecXMaster Technical Report An efficient algorithm for automatic phase correction of NMR spectra based on entropy minimization

Reference 19

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source=arxiv_source observed=2026-08-02T17:38:38.011927Z digest=sha256:f652df686f4e330a6a507fa8844e7585df86a771c9cb7d18578b63063bdf41ac

Observation 04fad684-2d7a-4fcf-92c5-9b79f2217470 · outbound

This paper cites pybaselines : A Python library of algorithms for the baseline correction of experimental data.

SpecXMaster Technical Report pybaselines : A Python library of algorithms for the baseline correction of experimental data

Reference 20

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source=arxiv_source observed=2026-08-02T17:38:38.136012Z digest=sha256:40a89f043188c69605904ffb66db1f4b5350cb544c6ab6a816f8adb06559d139

Observation 3f03dfd8-377d-418e-92d1-7f9403ee6912 · outbound

This paper cites u ntert, and Kurt W \.

SpecXMaster Technical Report u ntert, and Kurt W \

Reference 21

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source=arxiv_source observed=2026-08-02T17:38:38.335806Z digest=sha256:76a554bc67aad479e0569aec10f1710ac2afd21ef931e0fe2912678891f84817

Observation f8173958-01bd-4e54-a5cb-47071607a862 · outbound

This paper cites NMR signal processing, prediction, and structure verification with machine learning techniques.

SpecXMaster Technical Report NMR signal processing, prediction, and structure verification with machine learning techniques

Reference 22

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source=arxiv_source observed=2026-08-02T17:38:38.482879Z digest=sha256:ddc24726e6a542e7120c7d5d52806add8ba407f94230f2debc9ab917f77f652b

Observation c8af1b60-76aa-4f9d-973b-4cd06b50bac7 · outbound

This paper cites Rapid prediction of NMR spectral properties with quantified uncertainty.

SpecXMaster Technical Report Rapid prediction of NMR spectral properties with quantified uncertainty

Reference 23

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source=arxiv_source observed=2026-08-02T17:38:38.633158Z digest=sha256:bab5b8fbe2fc3d26f2257d5275c189e97618f6422f777ed2e3872638104796fe

Observation 0c4b9f97-7c2a-48fe-96e7-0f5a32a34d3c · outbound

This paper cites Computer-assisted structure elucidation ( CASE ): Current and future perspectives.

SpecXMaster Technical Report Computer-assisted structure elucidation ( CASE ): Current and future perspectives

Reference 24

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source=arxiv_source observed=2026-08-02T17:38:38.754020Z digest=sha256:4dab542a70188c5a6b8b5e54972f20997d1365f29b10941faaccd24768e3ca90

Observation bad88b81-2c6b-412c-bf22-2467dff29980 · outbound

This paper cites Computationally-assisted discovery and structure elucidation of natural products.

SpecXMaster Technical Report Computationally-assisted discovery and structure elucidation of natural products

Reference 25

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source=arxiv_source observed=2026-08-02T17:38:38.867838Z digest=sha256:197ef47673f05c4b1ac72089b16599ab0703e51f2d3d5209cf5966dc4c7202ef

Observation 0d0fedc2-ee8c-41ac-a2c6-232f27ec902f · outbound

This paper cites Toolformer: Language models can teach themselves to use tools.

SpecXMaster Technical Report Toolformer: Language models can teach themselves to use tools

Reference 26

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no resolver link, observed 2026-08-02T17:38:39.042589Z

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source=arxiv_source observed=2026-08-02T17:38:39.042589Z digest=sha256:dffefda30e7b4cfb8b11440e239871b0bc46b1e60062373f34259a7102315b5f

Observation 340597ea-6633-490b-9a6b-d4d5cd86537d · outbound

This paper cites MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning.

SpecXMaster Technical Report MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning

Reference 27

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source=arxiv_source observed=2026-08-02T17:38:39.165698Z digest=sha256:334e4069ee1d49937f89adf7b5231cb56cbc332b1b61cd74f160250ff2dfc677

Observation d35e1273-5c59-4702-a87b-cbaca578ba84 · outbound

This paper cites React: Synergizing reasoning and acting in language models.

SpecXMaster Technical Report React: Synergizing reasoning and acting in language models

Reference 28

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source=arxiv_source observed=2026-08-02T17:38:39.294676Z digest=sha256:d4c2eafef73c1fd79200775b492e6d6f6fb4b3103e99fe1ebc754b99b5cd0022

Observation 147db6f1-9619-432a-9bd2-4513c55e52ae · outbound

This paper cites Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face.

SpecXMaster Technical Report Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face

Reference 29

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no resolver link, observed 2026-08-02T17:38:39.469623Z

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source=arxiv_source observed=2026-08-02T17:38:39.469623Z digest=sha256:8d32eb6a88fee09a7e45db94e90f658571fcef6de577d90af586c405c43a759b

Observation 9f0224be-f37a-4cd8-9a63-04235aca6d53 · outbound

This paper cites Synergistic cross-modal learning for experimental nmr-based structure elucidation.

SpecXMaster Technical Report Synergistic cross-modal learning for experimental nmr-based structure elucidation

Reference 30

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source=arxiv_source observed=2026-08-02T17:38:39.620124Z digest=sha256:3520a6e4a7ddc144d6b1870dc5215f7e3e44a3c3618e861b5468fdd4b7779bae

Observation 2b340ffa-e286-4ffd-9cfc-ae9b37f0d859 · outbound

This paper cites Pubchem 2025 update.

SpecXMaster Technical Report Pubchem 2025 update

Reference 31

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source=arxiv_source observed=2026-08-02T17:38:39.766264Z digest=sha256:e0a7f6b4eedebd238f88d739a843c2818ab34c3ce1612f6445b8298ea58b439a

Observation c4c94612-3627-4258-a0fd-9a54eaac6a3d · outbound

This paper cites Efficient and robust approximate nearest neighbor search using hierarchical navigable small world graphs.

SpecXMaster Technical Report Efficient and robust approximate nearest neighbor search using hierarchical navigable small world graphs

Reference 32

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no resolver link, observed 2026-08-02T17:38:39.895161Z

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source=arxiv_source observed=2026-08-02T17:38:39.895161Z digest=sha256:d750e5a0903fbd01226d2519497492362d93a4e4b96b47808201a17a196ecfaf

Observation 1b6fd4ac-1265-4e40-bb29-43ccab7e58e5 · outbound

This paper cites Loeffler, Jiazhen He, Alessandro Tibo, Jon Paul Janet, Alexey Voronov, Lewis H.

SpecXMaster Technical Report Loeffler, Jiazhen He, Alessandro Tibo, Jon Paul Janet, Alexey Voronov, Lewis H

Reference 33

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source=arxiv_source observed=2026-08-02T17:38:40.047614Z digest=sha256:b159e7ffcafbfc46c157eda443181bdd82bd735d3f0130038ba4a8321d8bac03

Observation 6f7f1065-4f8b-4bb1-b247-aec9c90ad2b1 · outbound

This paper cites Zare, and Patrick Riley.

SpecXMaster Technical Report Zare, and Patrick Riley

Reference 34

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source=arxiv_source observed=2026-08-02T17:38:40.229037Z digest=sha256:464628fe1c12e1f508f54485221d9769d500d081ce4288e1adbe130e42e7862e

Observation be7e1701-eee2-4920-916a-05d3dcf36d87 · outbound

This paper cites A review of reinforcement learning in chemistry.

SpecXMaster Technical Report A review of reinforcement learning in chemistry

Reference 35

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source=arxiv_source observed=2026-08-02T17:38:40.380234Z digest=sha256:71b8e9d5547f8212556ebc75641f57b0b93f2c3feaa49b191c64faf623a83217

Observation 412d8001-9ac0-41e7-8717-8e4c52d25e22 · outbound

This paper cites Evaluation of reinforcement learning in transformer-based molecular design.

SpecXMaster Technical Report Evaluation of reinforcement learning in transformer-based molecular design

Reference 36

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source=arxiv_source observed=2026-08-02T17:38:40.521081Z digest=sha256:2261e87dcfad0b1e8e603a4b3cb98a368242bdab0cd695190d0154882976703f

Observation 3bb17fde-ca08-46b2-8a5f-5d580a5d9efa · outbound

This paper cites Contact electron-spin coupling of nuclear magnetic moments.

SpecXMaster Technical Report Contact electron-spin coupling of nuclear magnetic moments

Reference 37

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source=arxiv_source observed=2026-08-02T17:38:40.687335Z digest=sha256:e7e85aa1868463865697d3af617e9b73f557096e8ed60352b84ac2f6c89e8ed5

Observation a614adca-79fa-4881-8efe-1e9d1db34e62 · outbound

This paper cites Poincar \'e embeddings for learning hierarchical representations.

SpecXMaster Technical Report Poincar \'e embeddings for learning hierarchical representations

Reference 38

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source=arxiv_source observed=2026-08-02T17:38:40.797918Z digest=sha256:3e8b3f8ccd96a350feef721370d7728d396750a03268522aaafaf0fe49109e52

Observation 45b1cf85-764d-4f25-990c-c51d44e9cb90 · outbound

This paper cites Learning continuous hierarchies in the lorentz model of hyperbolic geometry.

SpecXMaster Technical Report Learning continuous hierarchies in the lorentz model of hyperbolic geometry

Reference 39

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source=arxiv_source observed=2026-08-02T17:38:40.977329Z digest=sha256:f9e0c1221f032b532e55baf65f7f5a1dafaf9ddb6f0026774fdf4a4a758eb4e6

Observation 3a75cbbb-8025-49ba-9517-1e3240957c75 · outbound

This paper cites Hyperbolic neural networks.

SpecXMaster Technical Report Hyperbolic neural networks

Reference 40

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Observation 5e5067fe-a49f-4bc8-af9c-4d383cb06ea8 · outbound

This paper cites Beyond lipschitz: Ranking binding affinity in hyperbolic space.

SpecXMaster Technical Report Beyond lipschitz: Ranking binding affinity in hyperbolic space

Reference 41

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Observation 260b3174-d07f-4c31-9db4-a1851a199b9a · outbound

This paper cites Uni-mol: A universal 3d molecular representation learning framework.

SpecXMaster Technical Report Uni-mol: A universal 3d molecular representation learning framework

Reference 42

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Observation eb11fd15-a6ad-4e99-a8af-49e82176406d · outbound

This paper cites Bart: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension.

SpecXMaster Technical Report Bart: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension

Reference 43

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Observation 07c054a2-013f-4cf7-a1e8-a3a5038e890d · outbound

This paper cites Sutton and Andrew G.

SpecXMaster Technical Report Sutton and Andrew G

Reference 44

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Observation 87bff4ec-5d1e-4a71-af47-1b44e9118289 · outbound

This paper cites Api-bank: A comprehensive benchmark for tool-augmented llms.

SpecXMaster Technical Report Api-bank: A comprehensive benchmark for tool-augmented llms

Reference 45

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Observation 516d4148-3d5b-4dbe-9791-c863f700abf3 · outbound

This paper cites Patil, Tianjun Zhang, Xin Wang, and Joseph E.

SpecXMaster Technical Report Patil, Tianjun Zhang, Xin Wang, and Joseph E

Reference 46

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Observation 0b82460a-3bd3-445a-a428-c722d5c1772c · outbound

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

SpecXMaster Technical Report DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 47

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Observation eafbda45-4ea0-4857-9a3e-b393c9b45c4d · outbound

This paper cites Molreasoner: Toward effective and interpretable reasoning for molecular llms.

SpecXMaster Technical Report Molreasoner: Toward effective and interpretable reasoning for molecular llms

Reference 48

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This paper cites Encouraging Good Processes Without the Need for Good Answers: Reinforcement Learning for LLM Agent Planning.

SpecXMaster Technical Report Encouraging Good Processes Without the Need for Good Answers: Reinforcement Learning for LLM Agent Planning

Reference 49

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Observation e8e1db1b-0be8-4b42-a76d-d1e7b20748cd · outbound

This paper cites Introducing gpt-5.2.

SpecXMaster Technical Report Introducing gpt-5.2

Reference 50

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Observation 5e06c61d-c235-4f94-9c65-4ade07a20804 · outbound

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Reference 51

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SpecXMaster Technical Report Unresolved cited work

Reference 52

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Observation c06dff46-8535-46ce-b6af-dd8105e26f26 · outbound

This paper cites Unilabos: An ai-native operating system for autonomous laboratories.

SpecXMaster Technical Report Unilabos: An ai-native operating system for autonomous laboratories

Reference 53

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source=arxiv_source observed=2026-08-02T17:38:43.020803Z digest=sha256:b099bbc7fcc7b872f8b5e762286d4cb334e28262327d9f71eb29fb385dca6c5a

Pith citing papers

Observation af5a8698-ebd3-4c58-84b0-3fc75a3e8c64 · inbound

NMR Elucidation as an Agentic Search Problem, Not a Modeling Problem cites this paper.

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Reference 20

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