Paper Citation Record · LEDGER

TD-Interpreter: Enhancing the Understanding of Timing Diagrams with Visual-Language Learning

As of 13 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2507.16844.

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

pith.paper-citation-record.v1
2507.16844 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:47:18.957573Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

41 of 41 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 13cb654e-6d3c-4fa3-84b9-f1050f778605 · outbound

This paper cites Adc129s022,.

TD-Interpreter: Enhancing the Understanding of Timing Diagrams with Visual-Language Learning Adc129s022,

Reference 1

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Observation ed3ebabd-9bcd-420c-a7d5-ea8430fd1797 · outbound

This paper cites Visual Instruction Tuning.

TD-Interpreter: Enhancing the Understanding of Timing Diagrams with Visual-Language Learning Visual Instruction Tuning

Reference 2

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Observation 88dd9cfb-42d2-4825-8cd1-d66e10f1820e · outbound

This paper cites Verilogeval: Evaluating large language models for verilog code generation,.

TD-Interpreter: Enhancing the Understanding of Timing Diagrams with Visual-Language Learning Verilogeval: Evaluating large language models for verilog code generation,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:47:21.287920Z

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Observation 22a39c2f-567a-43f2-981d-f245ad845bac · outbound

This paper cites ChipNeMo: Domain-Adapted LLMs for Chip Design.

TD-Interpreter: Enhancing the Understanding of Timing Diagrams with Visual-Language Learning ChipNeMo: Domain-Adapted LLMs for Chip Design

Reference 4

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Source-reported events for the cited work

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Observation b2083de9-42a6-4a98-9866-89c04ad05c8f · outbound

This paper cites Benchmarking large language models for automated verilog rtl code generation,.

TD-Interpreter: Enhancing the Understanding of Timing Diagrams with Visual-Language Learning Benchmarking large language models for automated verilog rtl code generation,

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:47:21.271457Z

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Observation 771b1492-cb05-4312-bf6d-390eafafb3ec · outbound

This paper cites Verigen: A large language model for verilog code generation,.

TD-Interpreter: Enhancing the Understanding of Timing Diagrams with Visual-Language Learning Verigen: A large language model for verilog code generation,

Reference 6

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This paper cites Llm4hwdesign,.

TD-Interpreter: Enhancing the Understanding of Timing Diagrams with Visual-Language Learning Llm4hwdesign,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:47:21.244400Z

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Observation 68516755-28cb-477d-b2af-d629028b36f4 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

TD-Interpreter: Enhancing the Understanding of Timing Diagrams with Visual-Language Learning Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 8

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This paper cites CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis.

TD-Interpreter: Enhancing the Understanding of Timing Diagrams with Visual-Language Learning CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis

Reference 9

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Source-reported events for the cited work

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Observation 53218b7d-acd6-41c6-931b-4269db741c16 · outbound

This paper cites Gpt4aigchip: Towards next-generation ai accelerator design automation via large language models,.

TD-Interpreter: Enhancing the Understanding of Timing Diagrams with Visual-Language Learning Gpt4aigchip: Towards next-generation ai accelerator design automation via large language models,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:47:21.228247Z

Source-reported events for the cited work

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Observation cb354ab6-fc00-429b-8e3c-35e283ce1780 · outbound

This paper cites Natural language is not enough: Benchmarking multi-modal generative AI for Verilog generation.

TD-Interpreter: Enhancing the Understanding of Timing Diagrams with Visual-Language Learning Natural language is not enough: Benchmarking multi-modal generative AI for Verilog generation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T15:47:16.478725Z

Source-reported events for the cited work

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Observation 1ccff706-1c46-4e30-b12e-f516e70a39cf · outbound

This paper cites Td-magic: From pictures of timing diagrams to formal specifications,.

TD-Interpreter: Enhancing the Understanding of Timing Diagrams with Visual-Language Learning Td-magic: From pictures of timing diagrams to formal specifications,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:47:21.210360Z

Source-reported events for the cited work

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Observation 9ca1d32d-5ef4-47da-b14e-b4f2c214b059 · outbound

This paper cites Boston, MA: Springer US, 2002, ch.

TD-Interpreter: Enhancing the Understanding of Timing Diagrams with Visual-Language Learning Boston, MA: Springer US, 2002, ch

Reference 13

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Source-reported events for the cited work

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Observation 26162a6f-a0a1-4a1f-9987-514e785f36ef · outbound

This paper cites Monitoring temporal properties of continuous signals,.

TD-Interpreter: Enhancing the Understanding of Timing Diagrams with Visual-Language Learning Monitoring temporal properties of continuous signals,

Reference 14

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Source-reported events for the cited work

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Observation c24b86f2-75d1-421e-b30d-3a5f094124b6 · outbound

This paper cites Timing diagrams: Formalization and algorithmic verification,.

TD-Interpreter: Enhancing the Understanding of Timing Diagrams with Visual-Language Learning Timing diagrams: Formalization and algorithmic verification,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:47:21.180834Z

Source-reported events for the cited work

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Observation 1d4caf2e-fdcd-4d90-b02a-7e1926d6f81e · outbound

This paper cites Efficient decompositional model checking for regular timing diagrams,.

TD-Interpreter: Enhancing the Understanding of Timing Diagrams with Visual-Language Learning Efficient decompositional model checking for regular timing diagrams,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:47:21.165748Z

Source-reported events for the cited work

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Observation 989f20aa-9698-4792-97c4-766d00a197e7 · outbound

This paper cites Survey on mining signal temporal logic specifications,.

TD-Interpreter: Enhancing the Understanding of Timing Diagrams with Visual-Language Learning Survey on mining signal temporal logic specifications,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:47:21.150705Z

Source-reported events for the cited work

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Observation a92659f0-2f7f-4cc4-8282-dd357e2850d7 · outbound

This paper cites Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks,.

TD-Interpreter: Enhancing the Understanding of Timing Diagrams with Visual-Language Learning Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks,

Reference 18

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Source-reported events for the cited work

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Observation 0ae9b208-a327-420d-826e-acc19e39974a · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

TD-Interpreter: Enhancing the Understanding of Timing Diagrams with Visual-Language Learning An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 19

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This paper cites Gemini: A Family of Highly Capable Multimodal Models.

TD-Interpreter: Enhancing the Understanding of Timing Diagrams with Visual-Language Learning Gemini: A Family of Highly Capable Multimodal Models

Reference 20

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Observation b8009d42-176a-482e-9d6a-c44d50c92463 · outbound

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TD-Interpreter: Enhancing the Understanding of Timing Diagrams with Visual-Language Learning Verilog testbench generator

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:47:21.108736Z

Source-reported events for the cited work

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Observation e242022f-6601-4a88-b4aa-f0c474b04aef · outbound

This paper cites Icarus verilog compilation system.

TD-Interpreter: Enhancing the Understanding of Timing Diagrams with Visual-Language Learning Icarus verilog compilation system

Reference 22

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Source-reported events for the cited work

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Observation e61d7418-9f18-4737-816d-f9fa395ac2b7 · outbound

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TD-Interpreter: Enhancing the Understanding of Timing Diagrams with Visual-Language Learning vcd2json

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 66b0142b-6744-4c85-96ab-402fece33b4d · outbound

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TD-Interpreter: Enhancing the Understanding of Timing Diagrams with Visual-Language Learning wavedrom-cli

Reference 24

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Source-reported events for the cited work

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Observation 15c5f3ef-7440-4791-a575-d8023d72a3d8 · outbound

This paper cites Benchmarking Large Language Models for Automated Verilog RTL Code Generation.

TD-Interpreter: Enhancing the Understanding of Timing Diagrams with Visual-Language Learning Benchmarking Large Language Models for Automated Verilog RTL Code Generation

Reference 25

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Observation 62069dff-c28d-47e7-87b9-b57924484fc5 · outbound

This paper cites DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence.

TD-Interpreter: Enhancing the Understanding of Timing Diagrams with Visual-Language Learning DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Reference 26

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Observation 0c866abd-d7f9-4256-a1a1-fb4f8930ec25 · outbound

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TD-Interpreter: Enhancing the Understanding of Timing Diagrams with Visual-Language Learning Generated knowledge prompting for commonsense reasoning,

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TD-Interpreter: Enhancing the Understanding of Timing Diagrams with Visual-Language Learning Chain-of-thought prompting elicits reasoning in large language models,

Reference 28

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TD-Interpreter: Enhancing the Understanding of Timing Diagrams with Visual-Language Learning Hdlbits,

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TD-Interpreter: Enhancing the Understanding of Timing Diagrams with Visual-Language Learning serialdp,

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TD-Interpreter: Enhancing the Understanding of Timing Diagrams with Visual-Language Learning serialdata,

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TD-Interpreter: Enhancing the Understanding of Timing Diagrams with Visual-Language Learning motor timer,

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TD-Interpreter: Enhancing the Understanding of Timing Diagrams with Visual-Language Learning complete fsm,

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Observation a6c9284a-df8f-42cc-8d9e-5b1ecd770df7 · outbound

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TD-Interpreter: Enhancing the Understanding of Timing Diagrams with Visual-Language Learning fancy timer,

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Observation c968c212-f9e8-4141-9a9f-31a08244b18a · outbound

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TD-Interpreter: Enhancing the Understanding of Timing Diagrams with Visual-Language Learning Unresolved cited work

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Observation 5a38f6e7-f781-4e60-812d-870bb319e39a · outbound

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TD-Interpreter: Enhancing the Understanding of Timing Diagrams with Visual-Language Learning wcounter,

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Observation 4e85c3a6-03f2-41eb-8a21-6c3f64c8270a · outbound

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TD-Interpreter: Enhancing the Understanding of Timing Diagrams with Visual-Language Learning An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 40

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Observation 109220e4-9080-4978-8d19-f57c6cd8ad3d · outbound

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TD-Interpreter: Enhancing the Understanding of Timing Diagrams with Visual-Language Learning Layer Normalization

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Observation 272d0649-8eb6-4ca3-8063-ebefbd91d1b1 · outbound

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TD-Interpreter: Enhancing the Understanding of Timing Diagrams with Visual-Language Learning Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality,

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:47:19.535777Z

Source-reported events for the cited work

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Observation 1732fbb3-423a-4a1a-bfd4-823dfdc84a49 · outbound

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TD-Interpreter: Enhancing the Understanding of Timing Diagrams with Visual-Language Learning Root mean square layer normalization,

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Source-reported events for the cited work

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Observation bef20480-0a0c-4ecb-9363-c875982321a3 · outbound

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

TD-Interpreter: Enhancing the Understanding of Timing Diagrams with Visual-Language Learning LoRA: Low-Rank Adaptation of Large Language Models

Reference 44

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Pith citing papers

No inbound Pith citation observations are available.