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Paper Citation Record · LEDGER

StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling

As of 21 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2606.15197.

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

pith.paper-citation-record.v1
2606.15197 v2

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

42 of 42 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved39
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9d0237c2-6647-4772-bb8a-64bbd00d1091 · outbound

This paper cites DeepSeek-V3 Technical Report.

StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling DeepSeek-V3 Technical Report

Reference 1

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metadata mismatch
local_arxiv, observed 2026-06-27T04:40:32.473151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-27T04:30:47.685730Z digest=sha256:d272d7c4e20cb881b4c07041148c3b970c5dac8126472790d66c32d9abe0f067

Observation 4ab05181-99b3-4f33-b3b7-de039566f909 · outbound

This paper cites Learning to Discover at Test Time.

StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling Learning to Discover at Test Time

Reference 2

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local_arxiv, observed 2026-06-27T04:40:32.472766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-11T11:50:26.030339Z digest=sha256:16948e4d5bdb51ec33c5413c1ac63a62a6c215123aa8b7540eb5243e8d0cb4a4

Observation ef9c4ca3-9867-4dd7-af52-938d4e75bf9f · outbound

This paper cites 0) specified in thereject_exactlist.

StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling 0) specified in thereject_exactlist

Reference 3

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T04:30:47.685730Z digest=sha256:5756e0e28201d4c2e0bcf4d4d1df7e09c904b89ad8fc55a39a0a429f74d20001

Observation 5cd3436a-4feb-4679-baa5-7deecfcfca9b · outbound

This paper cites case_id.

StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling case_id

Reference 4

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T04:30:47.685730Z digest=sha256:d0c64f5de6960de084b4c9dabc4a1bd344b0656c42dc788e88fc541fc626fdd8

Observation 04062179-edc7-4730-b091-658081b7cd4e · outbound

This paper cites an unresolved cited work.

StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling Unresolved cited work

Reference 5

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T04:30:47.685730Z digest=sha256:3e9d15d480fcd536c1c10d9cf9d3e7e916124e2b088ec5266a661eb0006e9f43

Observation c504f62d-c435-429b-8beb-fd92c2407100 · outbound

This paper cites an unresolved cited work.

StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling Unresolved cited work

Reference 6

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T04:30:47.685730Z digest=sha256:641a5f3ad791e2cb0252969ff6a16a7012add3c9f4e9386b53911fc05af531f8

Observation 7234e0cf-0599-4705-a032-d9dd8b214d8d · outbound

This paper cites an unresolved cited work.

StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling Unresolved cited work

Reference 7

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source=pdf_text observed=2026-06-27T04:30:47.685730Z digest=sha256:dc176f9f4a60ca9396f213e301f462abe323c289354ff9ed7546f1f0b1ae09f7

Observation c2a32138-b566-4569-8c7f-23994ecc94d2 · outbound

This paper cites kind": "interval.

StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling kind": "interval

Reference 8

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source=pdf_text observed=2026-06-27T04:30:47.685730Z digest=sha256:a156dfbb9e76dbbc4f938d261fc68cbb87f204f14df45e6d823475944f5f1596

Observation 5928ab93-f8b3-47c5-ac32-dadeb5827b83 · outbound

This paper cites an unresolved cited work.

StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling Unresolved cited work

Reference 9

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source=pdf_text observed=2026-06-27T04:30:47.685730Z digest=sha256:7a6ca8ffe1d11db137bb5997d0f6243518c3e24946e76e0026dff5fbbe077f5b

Observation e1e49d9b-13b9-4846-9162-b377828ad41f · outbound

This paper cites an unresolved cited work.

StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling Unresolved cited work

Reference 10

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Source-reported events for the cited work

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source=pdf_text observed=2026-06-27T04:30:47.685730Z digest=sha256:6f9c81b959f627dc60127e9cd451ff432a6f050b18a9c0fc0e6f028b0e6644c1

Observation 5ebf5442-873f-4dea-826b-8a12d99275ca · outbound

This paper cites kind": "interval.

StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling kind": "interval

Reference 11

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source=pdf_text observed=2026-06-27T04:30:47.685730Z digest=sha256:84b739a1f0cc7fc6d0e53c7f6b1c2ca72c8346f177c812228b0d60bcbe2b020b

Observation 07a564fd-5fab-4787-868c-e466d18a8b1b · outbound

This paper cites Identify the decision context, objective direction, resources, agents, items, time periods, locations, or other entities that need indexing.

StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling Identify the decision context, objective direction, resources, agents, items, time periods, locations, or other entities that need indexing

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T04:30:47.685730Z digest=sha256:dd9255fb2870a4acfde612baa2cb1bd31388c27af7b8a12d118aa22132215bae

Observation dae24762-e57a-44cd-a1a4-b11ef96e2ced · outbound

This paper cites Include the optimization family when identifiable, such as LP, MILP, assignment, transportation, facility location, routing, scheduling, blending, or production planning.

StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling Include the optimization family when identifiable, such as LP, MILP, assignment, transportation, facility location, routing, scheduling, blending, or production planning

Reference 13

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no resolver link, observed 2026-06-27T04:30:47.685730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T04:30:47.685730Z digest=sha256:2d881e8fb2b35b16ece98d45256012f20cf200f10f48426ce13b34ce0a047576

Observation 32d2d9cd-35ae-4de8-a5ee-9dd8023026fe · outbound

This paper cites Define only the sets needed for a clean mathematical formulation.

StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling Define only the sets needed for a clean mathematical formulation

Reference 14

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T04:30:47.685730Z digest=sha256:4e1f4449b1cadcb474096e8db173abde5a7432c60a86f4aa85cd63e59100dbbb

Observation 8d235ef1-b55a-418b-8d27-3a9ac550ee42 · outbound

This paper cites Required output order: <thought>...</thought> <Type>...</Type> <Sets>...</Sets> <python>...</python> MANDATORY FORMAT RULES:.

StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling Required output order: <thought>...</thought> <Type>...</Type> <Sets>...</Sets> <python>...</python> MANDATORY FORMAT RULES:

Reference 15

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T04:30:47.685730Z digest=sha256:b0d6b87926a287569a74de0ca58046f96a68946aab977415bad321bf10044f67

Observation 4744f1d9-1bcd-4774-9c04-615e26884555 · outbound

This paper cites − classical OR family when identifiable: TSP / Facility Location Problem / VRP (Vehicle Routing Problem) and so on.

StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling − classical OR family when identifiable: TSP / Facility Location Problem / VRP (Vehicle Routing Problem) and so on

Reference 16

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T04:30:47.685730Z digest=sha256:981c843f8931e0695134d41691af4c0d4214f788d325500b9afceda1036dffc8

Observation f422f4a3-1f54-4983-b423-b44de01deba3 · outbound

This paper cites Optimal value: {{optimal}}.

StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling Optimal value: {{optimal}}

Reference 17

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T04:30:47.685730Z digest=sha256:a7a375fdaeb8e01121af52187079309ca5aded464f34d57da1d256b639ca583d

Observation 0b17cdd4-0790-4469-867f-9e154482194f · outbound

This paper cites Identify all numeric constants, tables, capacities, demands, costs, profits, budgets, bounds, and logical coefficients required by the model.

StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling Identify all numeric constants, tables, capacities, demands, costs, profits, budgets, bounds, and logical coefficients required by the model

Reference 18

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source=pdf_text observed=2026-06-27T04:30:47.685730Z digest=sha256:ea4b57e5a66e32de718082f21a2b35bb94e9beecd99e54dc046c3425e8b9a12e

Observation f03d0611-8be2-4892-8273-77fd26a545f3 · outbound

This paper cites Preserve units and map each parameter to the relevant set indices.

StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling Preserve units and map each parameter to the relevant set indices

Reference 19

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source=pdf_text observed=2026-06-27T04:30:47.685730Z digest=sha256:03ebb0a99d9980efbb97da0f65ae5ab8a785ce4d5d4c174b37fb69f1bd0b807f

Observation 70f1c65c-09ff-459f-b3d4-311aa277f2ce · outbound

This paper cites Specify variable domain, index set, and semantic meaning.

StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling Specify variable domain, index set, and semantic meaning

Reference 20

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source=pdf_text observed=2026-06-27T04:30:47.685730Z digest=sha256:6faa5a75e881697795165793bf887fb2c36612b9355a1e0234e2b27f14646943

Observation 41c05cf9-49bd-48a8-a356-dc3f246b558a · outbound

This paper cites Required output order: <thought>...</thought> <Parameters>...</Parameters> <Variables>...</Variables> <python>...</python> MANDATORY FORMAT RULES:.

StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling Required output order: <thought>...</thought> <Parameters>...</Parameters> <Variables>...</Variables> <python>...</python> MANDATORY FORMAT RULES:

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T04:30:47.685730Z digest=sha256:71af3fe820b40db87e2c08b914b9aa58c901fd25a84c34aae6363636e05d2269

Observation 27681337-0423-46ce-b450-655d8f5022ae · outbound

This paper cites an unresolved cited work.

StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling Unresolved cited work

Reference 22

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T04:30:47.685730Z digest=sha256:f15f21ac342aff93e0c96b5d0aae8e50c56df5257fc4eb57fc2d03f000b3aa34

Observation 634a9e46-49f1-4de6-9125-b05efbac9f50 · outbound

This paper cites an unresolved cited work.

StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling Unresolved cited work

Reference 23

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source=pdf_text observed=2026-06-27T04:30:47.685730Z digest=sha256:2f74bf5056a5273e9f1c2ace9a4a749867fb88f3f657891308f2d9be3d1aa5ce

Observation 5a6b6481-3413-4648-8f8d-8b2367293720 · outbound

This paper cites Optimal value: {{optimal}}.

StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling Optimal value: {{optimal}}

Reference 24

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source=pdf_text observed=2026-06-27T04:30:47.685730Z digest=sha256:337022882def42f06aff059c0c3a692914212549dd61f54031d5f7d6b18b86c5

Observation 9e741903-d741-4525-b333-6c540d9c94c3 · outbound

This paper cites Determine the objective sense, the exact objective expression, and every feasibility condition stated or implied by the problem.

StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling Determine the objective sense, the exact objective expression, and every feasibility condition stated or implied by the problem

Reference 25

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source=pdf_text observed=2026-06-27T04:30:47.685730Z digest=sha256:2eaa362ac629ce37eeff37cd025cf209cd43c88e310beebf9a7d8e668aa1f43f

Observation f4969754-a90e-4667-afb2-a3606df93d80 · outbound

This paper cites Include whether the problem is a minimization or maximization problem.

StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling Include whether the problem is a minimization or maximization problem

Reference 26

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T04:30:47.685730Z digest=sha256:84e700a2a2ebb6eea36df2e0b94662cc7b1cfa300b82506fa6d76785b6088692

Observation 88c0a317-81bb-47e0-acaf-f1109f42ff41 · outbound

This paper cites Group constraints by semantic role, such as demand satisfaction, capacity, assignment, budget, balance, precedence, compatibility, or domain restrictions.

StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling Group constraints by semantic role, such as demand satisfaction, capacity, assignment, budget, balance, precedence, compatibility, or domain restrictions

Reference 27

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source=pdf_text observed=2026-06-27T04:30:47.685730Z digest=sha256:7430ac8f1372df5e4e62e67d153d184317f9a6569afe3457449f0e29c37b2fed

Observation 1e100bb2-df1a-4575-8544-61ea05886fe6 · outbound

This paper cites Required output order: <thought>...</thought> <Objective>...</Objective> <Constraints>...</Constraints> 28 <python>...</python> MANDATORY FORMAT RULES:.

StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling Required output order: <thought>...</thought> <Objective>...</Objective> <Constraints>...</Constraints> 28 <python>...</python> MANDATORY FORMAT RULES:

Reference 28

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source=pdf_text observed=2026-06-27T04:30:47.685730Z digest=sha256:71351f232a7784557addaed525f71017040e637cecfda656960d51b5288bf036

Observation 6b3c7fd8-d5bb-4c95-b8d0-c0378454d0c5 · outbound

This paper cites an unresolved cited work.

StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling Unresolved cited work

Reference 29

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source=pdf_text observed=2026-06-27T04:30:47.685730Z digest=sha256:82b9c646a0b8cd32f9bbcfa7fe6285c104d62a6d4285a7d941d42e069c03454d

Observation c95337e9-852d-4fb1-9cc2-9a240d6c576c · outbound

This paper cites an unresolved cited work.

StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling Unresolved cited work

Reference 30

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source=pdf_text observed=2026-06-27T04:30:47.685730Z digest=sha256:bf8120c95a4dc78219a12ebde4cee29a0da916ffc22655b6c4e2bb631a51a2ae

Observation e924035a-98dc-4700-9901-fa26b4ee7879 · outbound

This paper cites an unresolved cited work.

StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling Unresolved cited work

Reference 31

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source=pdf_text observed=2026-06-27T04:30:47.685730Z digest=sha256:6c791c4f2a269782e77ca40ad48a6c81112bfe63b950013c60422e94ec1c8ec8

Observation 21024ae0-ee4a-4e53-99f3-7359c1fcc321 · outbound

This paper cites an unresolved cited work.

StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling Unresolved cited work

Reference 32

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source=pdf_text observed=2026-06-27T04:30:47.685730Z digest=sha256:a632a26196732dd1e366c4622fb38a47ebc81e3300708817e8f05aeace3f1298

Observation 9fd54dd4-e36d-4982-b8c8-2f5d2930c6fd · outbound

This paper cites Optimal value: {{optimal}}.

StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling Optimal value: {{optimal}}

Reference 33

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source=pdf_text observed=2026-06-27T04:30:47.685730Z digest=sha256:1477cf9957e337be819050b5fedfff61f3f8967fbefea78f8efcc39e0bcf0255

Observation fc64cfd1-03f6-4b9a-b9d7-a24d3472c5c1 · outbound

This paper cites Check that the committed formulation is internally consistent.

StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling Check that the committed formulation is internally consistent

Reference 34

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source=pdf_text observed=2026-06-27T04:30:47.685730Z digest=sha256:9c6bef514781838f23d91b60ab77a7c3155c4bd7645acc85f4c316f24490fa27

Observation 0a7dd50e-d449-470b-bb6e-ccfadb033fd5 · outbound

This paper cites an unresolved cited work.

StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling Unresolved cited work

Reference 35

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T04:30:47.685730Z digest=sha256:cb733e583b50add3857a1bfffe468edcba71f0950315287e80827c98ecf3fecf

Observation 655c734c-221a-4702-a6e3-8585a40c70a1 · outbound

This paper cites Optimal value: {{optimal}}.

StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling Optimal value: {{optimal}}

Reference 36

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source=pdf_text observed=2026-06-27T04:30:47.685730Z digest=sha256:a051a78a2e6e9ada6e1fd52fd67e06307d832fdb3b7162dda6929ff32c820da0

Observation 061a8821-f2a6-4b44-ae2f-dcc61f0649c1 · outbound

This paper cites − Summarize potential pitfalls or common mistakes related to this type of code error.

StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling − Summarize potential pitfalls or common mistakes related to this type of code error

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T04:30:47.685730Z digest=sha256:9a35ffc35f6f115ae6ea7cca78c1dbfcbb1d78057e26cd1e2d2eede6a59ae031

Observation 40d5c56c-e9d0-4ba3-9f36-fdc7e3ffbd6d · outbound

This paper cites Optimal value: {{optimal}}.

StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling Optimal value: {{optimal}}

Reference 38

Resolution
unresolved
no resolver link, observed 2026-06-27T04:30:47.685730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T04:30:47.685730Z digest=sha256:da3da115a0d66cee93342d57b8b5db71a4f4e82128ba7b8eebf7e60ed2a5321e

Observation d595efef-cdb6-4a3d-ba89-1af5d95c375d · outbound

This paper cites − Summarize potential pitfalls or common mistakes related to this type of infeasibility.

StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling − Summarize potential pitfalls or common mistakes related to this type of infeasibility

Reference 39

Resolution
unresolved
no resolver link, observed 2026-06-27T04:30:47.685730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T04:30:47.685730Z digest=sha256:3987680894e15c3d18734d77bce8b536cdc5ae303f3886825523ac99d9ad2e46

Observation 681869e4-cd4c-4df4-b6dc-3b2efdae4875 · outbound

This paper cites This should address the flaws in the previous attempt.

StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling This should address the flaws in the previous attempt

Reference 40

Resolution
unresolved
no resolver link, observed 2026-06-27T04:30:47.685730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T04:30:47.685730Z digest=sha256:46a1d6477294ad2574779e395bb4265f657606e914c97f90ed8bf32a287cb231

Observation a3b2bacd-4f20-4740-b0f0-fd91104d54fb · outbound

This paper cites Optimal value: {{optimal}}.

StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling Optimal value: {{optimal}}

Reference 41

Resolution
malformed identifier
no resolver link, observed 2026-06-27T04:30:47.685730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T04:30:47.685730Z digest=sha256:9f929e509889637a0c43ee4dc01f35e86c0e54b93bd126eaa14a869a8e4f6683

Observation fe5818ee-87a8-4fe5-886d-7520da3bc231 · outbound

This paper cites Guidelines: • The answer [N/A] means that the paper does not involve crowdsourcing nor research with human subjects.

StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling Guidelines: • The answer [N/A] means that the paper does not involve crowdsourcing nor research with human subjects

Reference 42

Resolution
unresolved
no resolver link, observed 2026-06-27T04:30:47.685730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T04:30:47.685730Z digest=sha256:23c4d71afebc77e50d1c3314fcb56fc9fde756c6c8cf76a2c4bf3ef94da73a91

Pith citing papers

No inbound Pith citation observations are available.