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Paper Citation Record · LEDGER

ACCORD: Autoregressive Constraint-satisfying Generation for COmbinatorial Optimization with Routing and Dynamic attention

As of 17 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2506.11052.

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

pith.paper-citation-record.v1
2506.11052 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:04:35.125546Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T04:50:31.897556Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T04:50:34.194718Z

Reference resolution

35 of 35 outbound references displayed

  • verified exact1
  • verified fuzzy20
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1d507a07-b564-46cf-b8cf-a1b7a617b270 · outbound

This paper cites Starjob: Dataset for LLM-Driven Job Shop Scheduling.

ACCORD: Autoregressive Constraint-satisfying Generation for COmbinatorial Optimization with Routing and Dynamic attention Starjob: Dataset for LLM-Driven Job Shop Scheduling

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T15:04:34.057453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:34.057453Z digest=sha256:266a3bc5b0c2049ff6acf4215f936dae6db6b20dc14aa6539c7a80535105494d

Observation 73502c0e-e98a-45ab-8ce6-80282b963bfa · outbound

This paper cites Shifting bottleneck procedures for job shop scheduling.

ACCORD: Autoregressive Constraint-satisfying Generation for COmbinatorial Optimization with Routing and Dynamic attention Shifting bottleneck procedures for job shop scheduling

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:37.332191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:04:34.090372Z digest=sha256:8c8fbc7b6e871cd96627fc8494a3d67016ebe67897a600e9f558a84f386c61c0

Observation 63bfc661-ef33-4494-9d27-db81f2e35374 · outbound

This paper cites Llama 3 model card, 2024.

ACCORD: Autoregressive Constraint-satisfying Generation for COmbinatorial Optimization with Routing and Dynamic attention Llama 3 model card, 2024

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:37.314915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:04:34.118424Z digest=sha256:7abb27164c00584aa2a3f41e57244d03ab42e1415f68da230c866f6d6ed6d790

Observation 2771daa7-34b6-44f9-93d3-a68571a6967d · outbound

This paper cites Unsloth: Accelerated fine-tuning for large language models, 2024.

ACCORD: Autoregressive Constraint-satisfying Generation for COmbinatorial Optimization with Routing and Dynamic attention Unsloth: Accelerated fine-tuning for large language models, 2024

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:37.298857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:04:34.152826Z digest=sha256:d7b22cbb9ecb53ae957c5ce31467ce3a6fab1266a32be835d4ba3b082473ff4d

Observation e0faa89d-8733-4ae1-8f85-04c1b8b72f0d · outbound

This paper cites Sample-Efficient Optimization over Generative Priors via Coarse Learnability.

ACCORD: Autoregressive Constraint-satisfying Generation for COmbinatorial Optimization with Routing and Dynamic attention Sample-Efficient Optimization over Generative Priors via Coarse Learnability

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:04:35.347100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:04:34.183726Z digest=sha256:320e7724386307ebdd2169be830c247bfb8488742464934f4aae92ed6c2e9418

Observation dee90f7d-2f80-4cc8-aede-e360059c3771 · outbound

This paper cites Language models are few-shot learners.

ACCORD: Autoregressive Constraint-satisfying Generation for COmbinatorial Optimization with Routing and Dynamic attention Language models are few-shot learners

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T15:04:34.214900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:34.214900Z digest=sha256:caf4250b348d5da3dc0491c0f6a9736be87805cc4a62e8edcd702ebc624a349e

Observation b976059c-684b-42e9-bfae-fc245707f71a · outbound

This paper cites Palm: Scaling language modeling with pathways.

ACCORD: Autoregressive Constraint-satisfying Generation for COmbinatorial Optimization with Routing and Dynamic attention Palm: Scaling language modeling with pathways

Reference 7

Resolution
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no resolver link, observed 2026-08-07T15:04:34.247182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:34.247182Z digest=sha256:7d8b55951a1817697483199f80d12f15d3738fdcfc67847dff9f5c7020f2277e

Observation 2e8fabf7-b987-4e8d-9c3f-f590cdf220c1 · outbound

This paper cites Benchmarks for shop scheduling problems.

ACCORD: Autoregressive Constraint-satisfying Generation for COmbinatorial Optimization with Routing and Dynamic attention Benchmarks for shop scheduling problems

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:37.259334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:04:34.274037Z digest=sha256:d596b6c77112b1fc9ad95c72092c25cab411b239314502d6f4b215c0e842c835

Observation 64ad90aa-00dc-4c06-a134-73a8da7bdf28 · outbound

This paper cites Genetic algorithms in scheduling.

ACCORD: Autoregressive Constraint-satisfying Generation for COmbinatorial Optimization with Routing and Dynamic attention Genetic algorithms in scheduling

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:37.123280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:04:34.302528Z digest=sha256:99de1bf2359feb3af3926be0750ad6bfdfcc4868c45ee09262b6fdab24bcaa16

Observation d3beb8db-fbdd-4923-a675-a0b95cb96869 · outbound

This paper cites Google’s or-tools.

ACCORD: Autoregressive Constraint-satisfying Generation for COmbinatorial Optimization with Routing and Dynamic attention Google’s or-tools

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:36.999339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:04:34.333756Z digest=sha256:34c15d2c1961a0d2e89d0a211f10e6f6bacb1c44733f782a8db19b12dbbf9ed4

Observation 780f13cb-b01e-47c8-b1de-45f505ac75e6 · outbound

This paper cites LoRA: Low-rank adaptation of large language models.

ACCORD: Autoregressive Constraint-satisfying Generation for COmbinatorial Optimization with Routing and Dynamic attention LoRA: Low-rank adaptation of large language models

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:36.868884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:04:34.367389Z digest=sha256:907def97313257852e528fba36293ed7150da11a21ae8c4323e5a684d291bd96

Observation ba23f5ea-3e72-4930-9da8-1a89c891c749 · outbound

This paper cites Huang, P.

ACCORD: Autoregressive Constraint-satisfying Generation for COmbinatorial Optimization with Routing and Dynamic attention Huang, P

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:36.726846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:04:34.402334Z digest=sha256:5d0d5574600166086ce5c0631400561af57a2e2773a0520fed5fd3a614546c28

Observation df2d6353-7e00-40c9-a7de-90415ec7befc · outbound

This paper cites Huang et al.

ACCORD: Autoregressive Constraint-satisfying Generation for COmbinatorial Optimization with Routing and Dynamic attention Huang et al

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:36.669821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:04:34.437247Z digest=sha256:ba3a89a77d633523bd97b315ef00e1b0acd21d3a8b26f01578b48e0ce298024b

Observation 0a7fdc26-127f-4e4d-bc90-b2c12743f8bf · outbound

This paper cites Self-guiding exploration for combinatorial problems.

ACCORD: Autoregressive Constraint-satisfying Generation for COmbinatorial Optimization with Routing and Dynamic attention Self-guiding exploration for combinatorial problems

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:36.523497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:04:34.474989Z digest=sha256:6ea17eeb38e02834d9c51bafb336a7596bcca5123b29e5c3cec759c875e48505

Observation f5b6fa50-4c71-4bc3-b3aa-3428d7a79ab3 · outbound

This paper cites A rank stabilization scaling factor for fine-tuning with lora, 2023.

ACCORD: Autoregressive Constraint-satisfying Generation for COmbinatorial Optimization with Routing and Dynamic attention A rank stabilization scaling factor for fine-tuning with lora, 2023

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T15:04:34.522850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:34.522850Z digest=sha256:0edf0060508b449cc76c775c985b9bde999b1f7ac6ffb4827d6aebdb8cef34e5

Observation a4f9a88e-919c-430c-8401-3880a4b84876 · outbound

This paper cites Khalil, Hanjun Dai, Yuyu Zhang, Bistra Dilkina, and Le Song.

ACCORD: Autoregressive Constraint-satisfying Generation for COmbinatorial Optimization with Routing and Dynamic attention Khalil, Hanjun Dai, Yuyu Zhang, Bistra Dilkina, and Le Song

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:36.359936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:04:34.548939Z digest=sha256:47a8c948c7de3935ef662af53f547f5728448c98296785a6684b26a0bcdff855

Observation 07e4f57e-792b-4e02-84e6-ec97322b7d9a · outbound

This paper cites Attention, learn to solve routing problems! In International Conference on Learning Representations , 2019.

ACCORD: Autoregressive Constraint-satisfying Generation for COmbinatorial Optimization with Routing and Dynamic attention Attention, learn to solve routing problems! In International Conference on Learning Representations , 2019

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:36.181540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:04:34.563396Z digest=sha256:53d453f0cf6876f66b8cd57318c59ae477278d0767d169b1e95ba0f8a7cf2ea2

Observation 21631915-7c9a-4a1e-bbfd-7b2899cfbe0d · outbound

This paper cites Complexity of machine scheduling problems.

ACCORD: Autoregressive Constraint-satisfying Generation for COmbinatorial Optimization with Routing and Dynamic attention Complexity of machine scheduling problems

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:36.101516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:04:34.577750Z digest=sha256:151145ccdc846ba4d48289737b3b35b43a2180aa058e35bcd513bda0d6e297ae

Observation 3ae6fd86-6e4a-4f93-9c74-48d0f7b5c7b1 · outbound

This paper cites Large Language Models as Evolutionary Optimizers.

ACCORD: Autoregressive Constraint-satisfying Generation for COmbinatorial Optimization with Routing and Dynamic attention Large Language Models as Evolutionary Optimizers

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T15:04:34.607658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:34.607658Z digest=sha256:33c1fc44b8ebca38d589bc16466f3c52be6c7a7a1944658862cf567d51a2e072

Observation 5273e091-a1d4-4397-994f-958c18a0f34a · outbound

This paper cites Self-refine: Iterative refinement with self-feedback.

ACCORD: Autoregressive Constraint-satisfying Generation for COmbinatorial Optimization with Routing and Dynamic attention Self-refine: Iterative refinement with self-feedback

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T15:04:34.638777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:34.638777Z digest=sha256:3c2ccaf8dfaee3883fc4ab90ef529ce2d1974e3fccdc4355f3f13d530d06f42c

Observation dba18f8b-5585-4920-9f28-9ececfd58dc2 · outbound

This paper cites Exploring Combinatorial Problem Solving with Large Language Models: A Case Study on the Travelling Salesman Problem Using GPT-3.5 Turbo.

ACCORD: Autoregressive Constraint-satisfying Generation for COmbinatorial Optimization with Routing and Dynamic attention Exploring Combinatorial Problem Solving with Large Language Models: A Case Study on the Travelling Salesman Problem Using GPT-3.5 Turbo

Reference 21

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unresolved
no resolver link, observed 2026-08-07T15:04:34.673466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:34.673466Z digest=sha256:f19df0fd7b65f7d4fcbec89450126c201c957c3e496718e673311159f0bf90dc

Observation a7c44ba6-481d-4dbb-ab15-381987856a58 · outbound

This paper cites FCoReBench: Can Large Language Models Solve Challenging First-Order Combinatorial Reasoning Problems?.

ACCORD: Autoregressive Constraint-satisfying Generation for COmbinatorial Optimization with Routing and Dynamic attention FCoReBench: Can Large Language Models Solve Challenging First-Order Combinatorial Reasoning Problems?

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T15:04:34.700548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:34.700548Z digest=sha256:49c469cdc2a5214be6ecd39534a44042d60498923e57413a112d8d88cc392682

Observation 0dac8319-b030-4cd2-a748-5507833a1de1 · outbound

This paper cites Emory Enscore, and Inyong Ham.

ACCORD: Autoregressive Constraint-satisfying Generation for COmbinatorial Optimization with Routing and Dynamic attention Emory Enscore, and Inyong Ham

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:35.974432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:04:34.732692Z digest=sha256:877534f888b86e0b81af038e8919a58d1a3096f1a793ebcd2d03798196b30a3f

Observation a3ad5f14-a0bf-4dec-806d-33417bf6fa57 · outbound

This paper cites Applying deep learning to the newsvendor problem.

ACCORD: Autoregressive Constraint-satisfying Generation for COmbinatorial Optimization with Routing and Dynamic attention Applying deep learning to the newsvendor problem

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:35.788180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:04:34.762995Z digest=sha256:a24c3f15647eb60924f2e059ef85e72fd128ac61b03cbddb6dd72089e04399ed

Observation 0a23375b-3c68-4d46-af3a-11e559fa1514 · outbound

This paper cites Machine scheduling by mathematical programming.

ACCORD: Autoregressive Constraint-satisfying Generation for COmbinatorial Optimization with Routing and Dynamic attention Machine scheduling by mathematical programming

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:35.732018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:04:34.809409Z digest=sha256:4957bd9b8a7dd62e5532e6b5b3756ac729044dd7964721a8b2c3046d630a8ea5

Observation 372d908c-878d-49ff-96d2-d50f6de3c801 · outbound

This paper cites Benchmarks for basic scheduling problems.

ACCORD: Autoregressive Constraint-satisfying Generation for COmbinatorial Optimization with Routing and Dynamic attention Benchmarks for basic scheduling problems

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:35.682668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:04:34.841634Z digest=sha256:15396d8643defc8ba894b91dadaf0981f90d371357953e19d677f8df8371d4cb

Observation 80135790-0628-403d-b84d-b4fca7e651e0 · outbound

This paper cites LaMDA: Language Models for Dialog Applications.

ACCORD: Autoregressive Constraint-satisfying Generation for COmbinatorial Optimization with Routing and Dynamic attention LaMDA: Language Models for Dialog Applications

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T15:04:34.874400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:34.874400Z digest=sha256:5480d2e9a397ec169b88ceb43996128eadd2d02690d50a446ad33abcae3cd44f

Observation a6a1bf23-2785-4763-a540-09907683508d · outbound

This paper cites Valmeekam, A.

ACCORD: Autoregressive Constraint-satisfying Generation for COmbinatorial Optimization with Routing and Dynamic attention Valmeekam, A

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:35.605388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:04:34.899328Z digest=sha256:0eb1eace613aac77ab13c3027a4efd1257bb15da8950716391768d890961220c

Observation e99602c4-07c7-477a-b21c-3fd705b78c3c · outbound

This paper cites Optimizing small- scale surgery scheduling with large language model.

ACCORD: Autoregressive Constraint-satisfying Generation for COmbinatorial Optimization with Routing and Dynamic attention Optimizing small- scale surgery scheduling with large language model

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:35.525326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:04:34.929272Z digest=sha256:1aa0f29c0ff7e095e987caae49b3f6507376e27679aa76b4dce24d3709970984

Observation 3b01f115-33bf-4c30-98f7-053fddafcd9d · outbound

This paper cites Emergent Abilities of Large Language Models.

ACCORD: Autoregressive Constraint-satisfying Generation for COmbinatorial Optimization with Routing and Dynamic attention Emergent Abilities of Large Language Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T15:04:34.965844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:34.965844Z digest=sha256:d4c2a11ed6b188bb7ae6946375830f3e5018acac728dca0f8d934031b09fba0b

Observation 9c83ac1c-72b7-4ecd-9a26-215cbb867d52 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

ACCORD: Autoregressive Constraint-satisfying Generation for COmbinatorial Optimization with Routing and Dynamic attention Chain-of-thought prompting elicits reasoning in large language models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T15:04:34.995345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:34.995345Z digest=sha256:9c0ff42f3db6d3f84168e79e569cf35f67bd793cb7a3ae74e8b17e98ccfa2172

Observation a8be83e6-324d-4539-b7b7-d99482fcdecc · outbound

This paper cites Large Language Models as Optimizers.

ACCORD: Autoregressive Constraint-satisfying Generation for COmbinatorial Optimization with Routing and Dynamic attention Large Language Models as Optimizers

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T15:04:35.021526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:35.021526Z digest=sha256:f9a8679c43d2b6dcea9d2c447b5c947af4c0b6bfed0ecaec8db73fc45555a124

Observation e6a97bfa-367f-4d29-ae3f-e7bf92daf127 · outbound

This paper cites Zhang, W.

ACCORD: Autoregressive Constraint-satisfying Generation for COmbinatorial Optimization with Routing and Dynamic attention Zhang, W

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:35.438016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:04:35.055657Z digest=sha256:5dfa2ded5abd95674c65ec674f00aee2592cb5508b2b33ff6590472dfb5531c0

Observation 16d40969-adce-4db9-a86f-1b784c130bde · outbound

This paper cites Automatic Chain of Thought Prompting in Large Language Models.

ACCORD: Autoregressive Constraint-satisfying Generation for COmbinatorial Optimization with Routing and Dynamic attention Automatic Chain of Thought Prompting in Large Language Models

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T15:04:35.091346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:35.091346Z digest=sha256:8d5f443a7614e537631d8498e8d90f4f4202fd35c34d9fa3545df501ff61b71b

Observation 06cb2ba2-f908-4ca0-b435-c508caea8517 · outbound

This paper cites Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.

ACCORD: Autoregressive Constraint-satisfying Generation for COmbinatorial Optimization with Routing and Dynamic attention Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T15:04:35.125546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:35.125546Z digest=sha256:02a5110d2da37c7b69c7d70d21513f92c26b69629afa7ced077033146b6d2171

Pith citing papers

Observation d0546838-4bc7-4e9e-93ef-4496ddae5ce0 · inbound

Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial cites this paper.

Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial ACCORD: Autoregressive Constraint-satisfying Generation for COmbinatorial Optimization with Routing and Dynamic attention

Reference 111

Resolution
verified exact
local_arxiv, observed 2026-08-05T04:50:34.199583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T04:50:31.897556Z digest=sha256:0751dab208e961bfde81a872ab09bc2d4aa9edf07c6fb8a8ad9c256d77602759