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Paper Citation Record · LEDGER

From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation

As of 15 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2608.00084.

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

pith.paper-citation-record.v1
2608.00084 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T01:26:35.846713Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

46 of 46 outbound references displayed

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Outbound references

Observation ddf1a11b-d118-4093-aabc-e368fc43e7fb · outbound

This paper cites Verification guides reconstruction, selection, and training throughout PixCell, and so better verification metrics are crucial.

From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation Verification guides reconstruction, selection, and training throughout PixCell, and so better verification metrics are crucial

Reference 1

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source=pdf_text observed=2026-08-04T01:26:33.511536Z digest=sha256:2e7722d8bcc3c410d3a5c89ab389ec39447b1ab673d81277d90a599bd01cd3d2

Observation 336dabe8-8eac-4ebb-8311-67298cf45c52 · outbound

This paper cites This connects the parametric freedom demonstrated in Sec.

From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation This connects the parametric freedom demonstrated in Sec

Reference 2

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source=pdf_text observed=2026-08-04T01:26:33.594235Z digest=sha256:2827047b52f345842264ddb18d9f7bfaa18380c4468c6cc7ad906450977348b9

Observation 74e4ddc9-38c3-48c5-a1dd-c214be492b40 · outbound

This paper cites This supports controlled study of what a model learns from pixels, calibration, and program structure.

From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation This supports controlled study of what a model learns from pixels, calibration, and program structure

Reference 3

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source=pdf_text observed=2026-08-04T01:26:33.675469Z digest=sha256:b9418be1d5e535d8caf9dc48e0060f080e2abf7108815f3006411c60eb996181

Observation 73f80702-c8df-4250-9b2f-be2111d5d252 · outbound

This paper cites This extends the single open-weight training lineage studied here towards smaller, reproducible systems.

From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation This extends the single open-weight training lineage studied here towards smaller, reproducible systems

Reference 4

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source=pdf_text observed=2026-08-04T01:26:33.745293Z digest=sha256:d95573a7fa82324e57d0eea0c0ca3bd3e56cfc5c7f8b76dedeeccade544b6f98

Observation e32bbcd5-66c7-42a2-b0e9-58cd35586053 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation ReAct: Synergizing Reasoning and Acting in Language Models

Reference 5

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source=pdf_text observed=2026-08-04T01:26:33.851432Z digest=sha256:4589f02fbd544dcba96bd1ae489ca21f389d1dfe22579e91c10dd11e062d5201

Observation 2ed2d7b3-2a73-4f57-916e-a56e53f678a3 · outbound

This paper cites an unresolved cited work.

From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation Unresolved cited work

Reference 6

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source=pdf_text observed=2026-08-04T01:26:33.946726Z digest=sha256:0868fb3afc936d462371b3fc5807007b015117a8619d96a60f3d684fd3067331

Observation 86d85ca2-f767-4456-bc06-46d38bd40c89 · outbound

This paper cites Measuring AI Ability to Complete Long Software Tasks.

From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation Measuring AI Ability to Complete Long Software Tasks

Reference 7

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source=pdf_text observed=2026-08-04T01:26:33.966836Z digest=sha256:2260bf8a2fc272fcafb93d75ac08aee93bf75c131e812715725e86858eb6d427

Observation ee0d6439-0a0f-48ad-bfc0-a96809012ee1 · outbound

This paper cites AlphaEvolve: A coding agent for scientific and algorithmic discovery.

From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation AlphaEvolve: A coding agent for scientific and algorithmic discovery

Reference 8

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source=pdf_text observed=2026-08-04T01:26:33.995189Z digest=sha256:c9d2447a36e3d9330e533db5b4b92714002f82250618c6b3309189b09b0a0073

Observation 08394518-e02f-4307-be6f-4866c15ae511 · outbound

This paper cites GPT-4 Technical Report.

From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation GPT-4 Technical Report

Reference 9

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source=pdf_text observed=2026-08-04T01:26:34.033704Z digest=sha256:321a609a2ca0e5d568c26e36bf7adc7b869b6cd66a5a4cb086dcf60ca656f221

Observation 08d9f9a9-92fa-45d1-8cce-0d25d33950bb · outbound

This paper cites an unresolved cited work.

From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation Unresolved cited work

Reference 10

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source=pdf_text observed=2026-08-04T01:26:34.069898Z digest=sha256:9c26b439ec168aacb73bda13cd8aec8aee0247f3fef593f6547a8b9fcb579f50

Observation 80221742-8483-4e25-81f9-a4e493604f00 · outbound

This paper cites an unresolved cited work.

From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation Unresolved cited work

Reference 11

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Observation a0183406-1391-4a56-8afc-7566c8c4627c · outbound

This paper cites Chrostowski and M.

From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation Chrostowski and M

Reference 12

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source=pdf_text observed=2026-08-04T01:26:34.153576Z digest=sha256:ffb516f3c95d7de58029ec7f0e0d313508c8c6fc6f46da8e3043c71bbcfe8b5c

Observation ca91c39f-a887-420d-933b-8970224ec275 · outbound

This paper cites Bogaerts and L.

From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation Bogaerts and L

Reference 13

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source=pdf_text observed=2026-08-04T01:26:34.187211Z digest=sha256:fe5446446450632372324fb96d03934690f340a2d4d8976a8926315e4fabc964

Observation 89673bb6-0a10-4b57-9bfb-535c8cce8ef0 · outbound

This paper cites Matres et al., GDSFactory: a Python library for chip design, https://github.com/gdsfactory/gdsfactory (2026), version 9.20.7; accessed July 28, 2026.

From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation Matres et al., GDSFactory: a Python library for chip design, https://github.com/gdsfactory/gdsfactory (2026), version 9.20.7; accessed July 28, 2026

Reference 14

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Observation c536c3ff-5a8d-4bb3-b79d-0a7107c1e503 · outbound

This paper cites an unresolved cited work.

From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation Unresolved cited work

Reference 15

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source=pdf_text observed=2026-08-04T01:26:34.245680Z digest=sha256:7ad858aeb2c1989a8935c83490620245d8d691ca69cd14a6192a7a19178e3a01

Observation 5e93d55d-c0e7-4a08-8fde-b4e79cd29104 · outbound

This paper cites Sharma, Y.

From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation Sharma, Y

Reference 16

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source=pdf_text observed=2026-08-04T01:26:34.301438Z digest=sha256:46561d07d667a865f021ceb70ad6371ff23e299c1d2db89ce9f175d45f5a874c

Observation 93707bfb-d03c-4156-912f-7cb02783ad50 · outbound

This paper cites Autonomous agentic design for photonics.

From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation Autonomous agentic design for photonics

Reference 17

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source=pdf_text observed=2026-08-04T01:26:34.351871Z digest=sha256:8cf2998ce9e47aa1acff62a741bb7adf52ebaa3a0feb2be998bde3e17935edd1

Observation 0ef25b30-c476-4c7c-a175-875aae538b9b · outbound

This paper cites an unresolved cited work.

From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation Unresolved cited work

Reference 18

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Observation 0f5c83e3-a86e-48c8-93ce-058a26e6d551 · outbound

This paper cites Chaudhuri, K.

From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation Chaudhuri, K

Reference 19

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Observation d7507e87-ac8d-45c8-96da-f32eb81816bf · outbound

This paper cites Ellis, D.

From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation Ellis, D

Reference 20

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Observation c0bf6e6e-6bf5-4fd6-bd8a-2998f1e881c6 · outbound

This paper cites an unresolved cited work.

From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation Unresolved cited work

Reference 21

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source=pdf_text observed=2026-08-04T01:26:34.571511Z digest=sha256:c3c0ade00cee9c7a29992936609f4ba6fafd449938e531831b087fb1bb5c9644

Observation 28bd3af4-1cc3-4f82-a865-42867ae96eac · outbound

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

From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 22

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Observation d6f276dc-41d6-447a-ba7e-2d1ebf2b05bb · outbound

This paper cites an unresolved cited work.

From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation Unresolved cited work

Reference 23

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Observation 3c72d33e-2b07-4430-8265-55fbb7c8d951 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation Training Verifiers to Solve Math Word Problems

Reference 24

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Observation 7587f49d-d574-4dc5-b3ce-786abb58befe · outbound

This paper cites Large Language Monkeys: Scaling Inference Compute with Repeated Sampling.

From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

Reference 25

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Observation 288e89ca-5614-480c-a9cc-1aedb2c0b2ba · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 26

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Observation b1beb661-af27-463c-be70-a12a193869c8 · outbound

This paper cites Wei, Asymmetry of verification and veri- fier’s rule, https://www.jasonwei.net/blog/ asymmetry-of-verification-and-verifiers-law (2025).

From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation Wei, Asymmetry of verification and veri- fier’s rule, https://www.jasonwei.net/blog/ asymmetry-of-verification-and-verifiers-law (2025)

Reference 27

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Observation f759063e-d3cd-4af7-9bcc-e6e1fcd6c8d6 · outbound

This paper cites Learning Only with Images: Visual Reinforcement Learning with Reasoning, Rendering, and Visual Feedback.

From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation Learning Only with Images: Visual Reinforcement Learning with Reasoning, Rendering, and Visual Feedback

Reference 28

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Observation 70d381ae-3ce9-451b-8418-756d5029903f · outbound

This paper cites an unresolved cited work.

From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation Unresolved cited work

Reference 29

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Observation 501fe0dc-d2c3-41af-ab90-c1ae5d394e72 · outbound

This paper cites an unresolved cited work.

From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation Unresolved cited work

Reference 30

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Observation a68349b3-589d-4abd-9c1f-90173f2b66a8 · outbound

This paper cites Malka, Y.

From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation Malka, Y

Reference 31

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source=pdf_text observed=2026-08-04T01:26:35.000429Z digest=sha256:bb27f15b1e0cd81170f443f4ab62ebd3f00cbc627cf8a757ba0f13735e6f44f2

Observation 79c35fa2-7a0e-4236-b22b-8d8965dad02e · outbound

This paper cites an unresolved cited work.

From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation Unresolved cited work

Reference 32

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source=pdf_text observed=2026-08-04T01:26:35.107412Z digest=sha256:c43528d6595a797e8c71e399084ddc92cc8c93bf85eeb5fb6f4f224f2501937d

Observation 3bc46d51-6712-421f-8f38-bf1cea1e91cc · outbound

This paper cites Huang, K.

From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation Huang, K

Reference 33

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Observation 2dfa1af5-0f8a-47b2-954f-3bef5f1baf59 · outbound

This paper cites Al Qubaisi and M.

From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation Al Qubaisi and M

Reference 34

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source=pdf_text observed=2026-08-04T01:26:35.294475Z digest=sha256:430cf455dc748dc83d33f27f6baf9ad24b5ba7f4546868ade9f892d14756a267

Observation edc3b12b-da69-4da7-bf28-a44126840ee4 · outbound

This paper cites Chandran, M.

From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation Chandran, M

Reference 35

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source=pdf_text observed=2026-08-04T01:26:35.401561Z digest=sha256:a9f0f3f68a67c43d0d0a3296916bc3d51b6c82b1609114d288bf7681138d7432

Observation ef030d18-8281-4f93-8a5c-b8d1792314dc · outbound

This paper cites an unresolved cited work.

From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation Unresolved cited work

Reference 36

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Observation 0c740b0e-ef6e-4618-b1ba-bee746ae2044 · outbound

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From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation Unresolved cited work

Reference 37

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Observation 37d11fdc-509b-4da1-bba6-b14daabfd876 · outbound

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From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation Unresolved cited work

Reference 38

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Observation 69e017be-9a70-4993-8038-b08786103e13 · outbound

This paper cites an unresolved cited work.

From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation Unresolved cited work

Reference 39

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T01:26:35.625499Z digest=sha256:86455d9a60cd92b18e6222b51b21b6a0d278aeab509d41f06e8f0d46621948b5

Observation 2b9251e7-c433-439f-aa76-ff71b3eceedf · outbound

This paper cites an unresolved cited work.

From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation Unresolved cited work

Reference 40

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no resolver link, observed 2026-08-04T01:26:35.661412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T01:26:35.661412Z digest=sha256:fcea515f8b6a3d793566ca6ad82b574b9c138ddcb9f726826763946280162a91

Observation e4b6d639-c43c-4cab-bc41-feeb182bdf80 · outbound

This paper cites com/api/docs/pricing (2026), accessed July 27, 2026.

From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation com/api/docs/pricing (2026), accessed July 27, 2026

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-04T01:26:35.689095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7693f4b2-1783-4381-af85-9e12fa76cd03 · outbound

This paper cites claude.com/docs/en/about-claude/pricing (2026), accessed July 27, 2026.

From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation claude.com/docs/en/about-claude/pricing (2026), accessed July 27, 2026

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-04T01:26:35.728472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T01:26:35.728472Z digest=sha256:8b46ce7f3b3e81cbd54aaa20c343ea50d38b2a9276f95083bcf07f251a027e11

Observation 6af37a15-c5aa-43ae-97f9-e0c6b05b25c0 · outbound

This paper cites Agarwal, K.

From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation Agarwal, K

Reference 43

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no resolver link, observed 2026-08-04T01:26:35.753009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T01:26:35.753009Z digest=sha256:99c32b4eb29c24aebe20d5a6d8f316975d3e3e5c4908c24f47e0904408466a6e

Observation 420515fa-526f-4a63-b536-171510d63bb9 · outbound

This paper cites 6-35b-a3b (2026).

From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation 6-35b-a3b (2026)

Reference 44

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unresolved
no resolver link, observed 2026-08-04T01:26:35.784796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T01:26:35.784796Z digest=sha256:9d640d547cfad3474c0c94683d60ac790be7023b4295ec2b46fece06747f7959

Observation a721bc02-4e60-4250-b398-cd1250fb11c9 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation LoRA: Low-Rank Adaptation of Large Language Models

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-04T01:26:35.814394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T01:26:35.814394Z digest=sha256:cfcbbb029d92d319684bc69abe42f8760c7a49d1a314bbac936f3a0907f8a3d5

Observation 37c6f3bc-dc68-484b-bd91-259bdb4deefc · outbound

This paper cites an unresolved cited work.

From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation Unresolved cited work

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-04T01:26:35.846713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T01:26:35.846713Z digest=sha256:68027b06b091e461ed9321fec31b2bffa0a2cbdaa479a7def9702bdebb2ba95f

Pith citing papers

No inbound Pith citation observations are available.