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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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no resolver link, observed 2026-08-02T17:38:35.491394Z

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source=arxiv_source observed=2026-08-02T17:38:35.491394Z digest=sha256:1a663be168f549949a993079d957e9a59e6490504eed1776d72ac632c87ceb92

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=sha256:9fa12c4cf4ea02b4e8d6834a157830d0f90f25c07a4d71c58eea2f77123609ad

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=sha256:08d27cdec7d3e38e53a964c64ca816ae4a2a036fd9ebba0f12fd8693abc9108e

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=sha256:0b29e261effe716bf275ae5fe3a0c2315e5fa53cafe4074c851d9c24dd746fbc

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=sha256:33acf6e13742ae64d58e80ec4b307995252d34322801902040fc189df49d8736

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=sha256:3ee342eb8c2118dbe2b0cd944e8eba9bec94e588fe4493306285f7979ab1345c

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=sha256:5fbc0626b9da14bf68c3221a978c139e3dd9de766be0c007f9d342c14edc79fc

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:cda8ed152a7bbef9f805d04e2f7c8aba55863af6a2747607479f9f4d4c54b8b1

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=sha256:6c19e69c1574c9c06cd65f4a22b368819977861e46ff8f88e9ccb33ff76ddacc

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:a15ab6b8c6edd92adfa03be4aaecd25303f4f1db8d5c04ec1877c95152f2eddb

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:c27df22cd76bebd42d868bea2b00945ac4674e29aff69a3276697a148cf14946

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=sha256:1f2c14715af120fb88355024dc84d730d2f70fb7c7c28baccfad8cb1b751771b

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=sha256:211fe8fe05004812aaf41cbde507e43afaca83b4254953776cb442ae789e0b20

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:bb7b2e4c533d887068ef6738dbe02903a9a1afb7e347defa0a3df98b3ec07456

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=sha256:2d8683d6543628fa820501258097125e1439bd5029c7044714a19581ecd6ffc3

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=sha256:959442e2c85e2290cd4dc7fae0717de9dc21f7276d62ec89b6949ad3c2a0d1bf

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=sha256:1a8727351df9a92001dfab405cc39ab45acee799c312ba43fee7c08d69cfce38

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=sha256:4087d2a46fb3d92cc1fe975e53c646f37ce0163a592d247fbafa9027eb674e01

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:ed8c23d04d56a90cda0bd596da7bf399eb14a58ecd5dceab771a6e1707466674

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=sha256:330653c3178e92361e974b35c97d81b7003b71273f541d5a17a58df3d5a12a17

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:b28f0da2420dab8503e5a7281f8f7df9591ba66e88e8b9b54fd6ea47dc703c5c

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:bcd906bfa0413df67287e04a984aef62982f4cb6a6befa46143f92d3ab0e442b

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:e91c9be42027f6268feea3731044d06979ecfd47f0f14635a6ec5fa1557e58ec

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=sha256:62c498a9cb5c999c48bdddb638e92a58deb86733287d51b019e0860743c831e4

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:afb5791705bac6b756a63023214df6f3db9e01ea409476099fb3b48ffff87e23

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=sha256:0b4cef4c9c1d72500cfd70f4855a52d86315dcd90b75fab175f943ff1344325f

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=sha256:30716c8a6a7be360195ed2c29cb8058b528e47c73a3bc0a785de019348e491f2

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=sha256:8808095647f50b3369b9ba6060a2fbdab8462c481450c8dee9241ebdfd73d5ce

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:fadd5b700649d050082f01e0690ace9527f1d1b38f3e1eb94a2e8bdff4a43f65

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:a172a41092a35ade0b4c9cd266310d25c649159a67a7c86e4dca5ffea40a3920

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=sha256:89c6e49d79b91f00b219236df6a8f468f5ab43d22b622581f5cfcc40189d5b4e

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=sha256:3bca152f00207158945f21d8bb7211d09eca75f3409a3e674c21b8d65bc34e99

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=sha256:3592f7f40234288d30aeaa457554b32d1bc3b6a132c8829d5e9adc597462364c

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:f5fd58c7238b11407cb201dd7cde447056782e523d41cf0e393f53f58f4b092b

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=sha256:86ac3b28f7b9affe923550fb95ca56a29a628dd66f50493f1c62afeffc24cd19

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=sha256:0da30de814489fd3d666becfc027e95a36946800a8b0161308f07e9cfde934bb

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:fd4e7c80d598aa707b102c720731a08dd356bc9fbd6fdaff88ea0c8e53de8fe7

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=sha256:71c85da63e601f1e6f73ad1490763e50831efa0b1138b9b388a25ac41f020784

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=sha256:6c7be4f2b906a5b1113eca33fc0d16d3a42166d11c1c1a18b6a3b6198377fe20

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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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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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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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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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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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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Observation 227bb680-7c3d-424d-8699-9ccf6eaf1534 · outbound

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

This paper cites Qwen2.5 Technical Report.

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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=sha256:23aa8aeb38466e348f702ff1a84938c0fec9abf425c058f507f6daa5947ca95e

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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