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Paper Citation Record · LEDGER

Momentum Based Reward Design for Low Emission Traffic Signal Control

As of 8 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2605.29693.

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

pith.paper-citation-record.v1
2605.29693 v2

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T15:42:54.504026Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

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Reference resolution

41 of 41 outbound references displayed

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Outbound references

Observation 370a3f24-2703-4206-ba96-3e1e1f002287 · outbound

This paper cites Synthesizing natural language to visualization (nl2vis) benchmarks from nl2sql benchmarks,.

Momentum Based Reward Design for Low Emission Traffic Signal Control Synthesizing natural language to visualization (nl2vis) benchmarks from nl2sql benchmarks,

Reference 1

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Observation 6e916472-9e60-42f7-be33-cf12f43a7dc1 · outbound

This paper cites Aurora: Data-driven construction of visual graph query interfaces for graph databases,.

Momentum Based Reward Design for Low Emission Traffic Signal Control Aurora: Data-driven construction of visual graph query interfaces for graph databases,

Reference 2

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Observation 7c345330-2fdd-49c7-9cdf-11723e96eef0 · outbound

This paper cites Multivis-agent: A multi- agent framework with logic rules for reliable and comprehensive cross- modal data visualization,.

Momentum Based Reward Design for Low Emission Traffic Signal Control Multivis-agent: A multi- agent framework with logic rules for reliable and comprehensive cross- modal data visualization,

Reference 3

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Observation 2a6f7587-8802-49d7-bbaa-94bad97919cc · outbound

This paper cites Haichart: Human and ai paired visualization system,.

Momentum Based Reward Design for Low Emission Traffic Signal Control Haichart: Human and ai paired visualization system,

Reference 4

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Observation 615e788c-d4c9-4042-b246-ff507684f165 · outbound

This paper cites Navigating data repositories: Utilizing line charts to discover relevant datasets,.

Momentum Based Reward Design for Low Emission Traffic Signal Control Navigating data repositories: Utilizing line charts to discover relevant datasets,

Reference 5

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Observation 358f1f16-2d66-4467-9540-34bfd2d11cfc · outbound

This paper cites Seedb: Efficient data-driven visualization recommendations to support visual analytics,.

Momentum Based Reward Design for Low Emission Traffic Signal Control Seedb: Efficient data-driven visualization recommendations to support visual analytics,

Reference 6

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Observation eed365bd-1bb3-4276-bd4e-0876ffcd9c98 · outbound

This paper cites Crowdchart: Crowdsourced data extraction from visualization charts,.

Momentum Based Reward Design for Low Emission Traffic Signal Control Crowdchart: Crowdsourced data extraction from visualization charts,

Reference 7

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Observation 08f50ed3-c65c-4c23-abfc-94d7da176d43 · outbound

This paper cites Steerable self- driving data visualization,.

Momentum Based Reward Design for Low Emission Traffic Signal Control Steerable self- driving data visualization,

Reference 8

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source=pdf_text observed=2026-07-12T15:42:54.504026Z digest=sha256:71e4fab20da2940038e9eb0e9de33b76a5b069ff8991959e5a649ac969d4909c

Observation a99b60c9-80cf-469a-b751-316ddc0041a0 · outbound

This paper cites Natural language interfaces for tabular data querying and visualization: A survey,.

Momentum Based Reward Design for Low Emission Traffic Signal Control Natural language interfaces for tabular data querying and visualization: A survey,

Reference 9

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Observation e362ebb7-d9e1-4bdf-919b-0ea96513f23c · outbound

This paper cites Visualization recommendation through visual relation learning and visual preference learning,.

Momentum Based Reward Design for Low Emission Traffic Signal Control Visualization recommendation through visual relation learning and visual preference learning,

Reference 10

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Observation eb032ea3-78ea-4b2c-add9-cba5971cb2fc · outbound

This paper cites Towards robustness of text-to-visualization translation against lexical and phrasal variability,.

Momentum Based Reward Design for Low Emission Traffic Signal Control Towards robustness of text-to-visualization translation against lexical and phrasal variability,

Reference 11

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Observation c15b0c93-ad60-46ec-b589-4b31f9efd994 · outbound

This paper cites Datavist5: A pre-trained language model for jointly understanding text and data visualization,.

Momentum Based Reward Design for Low Emission Traffic Signal Control Datavist5: A pre-trained language model for jointly understanding text and data visualization,

Reference 12

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Observation 54ba0565-d181-41bf-a4ef-8280c41ea158 · outbound

This paper cites Vega- lite: A grammar of interactive graphics,.

Momentum Based Reward Design for Low Emission Traffic Signal Control Vega- lite: A grammar of interactive graphics,

Reference 13

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Observation 6d991303-2a99-4507-92c7-d7396c69b866 · outbound

This paper cites ggplot2: elegant graphics for data analysis,.

Momentum Based Reward Design for Low Emission Traffic Signal Control ggplot2: elegant graphics for data analysis,

Reference 14

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Observation 3d99a20d-1d2e-495b-b569-b2fab302733a · outbound

This paper cites Natural language to visualization by neural machine translation,.

Momentum Based Reward Design for Low Emission Traffic Signal Control Natural language to visualization by neural machine translation,

Reference 15

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source=pdf_text observed=2026-07-12T15:42:54.504026Z digest=sha256:9dfbdde9814a1f2e53690d75fcc15fabf02d306e843334e333f32d7fa385b903

Observation 9ade0a9f-594d-4f96-9db9-215b5e097a87 · outbound

This paper cites nvbench 2.0: Resolving ambiguity in text-to-visualization through stepwise reasoning,.

Momentum Based Reward Design for Low Emission Traffic Signal Control nvbench 2.0: Resolving ambiguity in text-to-visualization through stepwise reasoning,

Reference 16

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Observation 766c1527-4acb-4907-98b7-eecd582cab08 · outbound

This paper cites Viseval: A benchmark for data visualization in the era of large language models,.

Momentum Based Reward Design for Low Emission Traffic Signal Control Viseval: A benchmark for data visualization in the era of large language models,

Reference 17

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Observation 2845a9a2-0e5a-404a-916b-49a87266b740 · outbound

This paper cites Interactive text-to- visualization: Refining visualization outputs through natural language user feedback,.

Momentum Based Reward Design for Low Emission Traffic Signal Control Interactive text-to- visualization: Refining visualization outputs through natural language user feedback,

Reference 18

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Observation 9142a25d-b6e2-453f-85dc-905c6de473db · outbound

This paper cites Marrying dialogue systems with data visualization: Interactive data visualization generation from natural language conversations,.

Momentum Based Reward Design for Low Emission Traffic Signal Control Marrying dialogue systems with data visualization: Interactive data visualization generation from natural language conversations,

Reference 19

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Observation d257eb9e-6940-4188-8440-d9d2d283a87e · outbound

This paper cites Rgvisnet: A hybrid retrieval-generation neural framework towards automatic data visualiza- tion generation,.

Momentum Based Reward Design for Low Emission Traffic Signal Control Rgvisnet: A hybrid retrieval-generation neural framework towards automatic data visualiza- tion generation,

Reference 20

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Observation ace2542e-f1fb-40d6-bac8-9ff28d0f1beb · outbound

This paper cites Automated data visualization from natural language via large language models: An exploratory study,.

Momentum Based Reward Design for Low Emission Traffic Signal Control Automated data visualization from natural language via large language models: An exploratory study,

Reference 21

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source=pdf_text observed=2026-07-12T15:42:54.504026Z digest=sha256:b374e1665d9011231175db47b4f01dc5162ada8bbcae574e0d0a0440736111fb

Observation 9870a9c4-19bf-48c2-9a3e-0164a0fd170a · outbound

This paper cites nvAgent: Automated data visualization from natural language via collaborative agent workflow,.

Momentum Based Reward Design for Low Emission Traffic Signal Control nvAgent: Automated data visualization from natural language via collaborative agent workflow,

Reference 22

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Observation 560af290-8f20-48bb-9b60-2647950a9e68 · outbound

This paper cites Automatic data visualization generation from chinese natural language questions,.

Momentum Based Reward Design for Low Emission Traffic Signal Control Automatic data visualization generation from chinese natural language questions,

Reference 23

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Observation 83e8358b-2d08-4e32-913e-074c15d26959 · outbound

This paper cites Learning to recommend visualizations from data,.

Momentum Based Reward Design for Low Emission Traffic Signal Control Learning to recommend visualizations from data,

Reference 24

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Observation f1fc1abe-a4c9-4126-a1e3-5bf2e53440a6 · outbound

This paper cites Sevi: Speech-to- visualization through neural machine translation,.

Momentum Based Reward Design for Low Emission Traffic Signal Control Sevi: Speech-to- visualization through neural machine translation,

Reference 25

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Observation 68aa46fa-9a0c-4d50-864e-fdafb7232070 · outbound

This paper cites Datatone: Managing ambiguity in natural language interfaces for data visual- ization,.

Momentum Based Reward Design for Low Emission Traffic Signal Control Datatone: Managing ambiguity in natural language interfaces for data visual- ization,

Reference 26

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Observation 243d82d6-2fb8-4340-b051-36c3066a0294 · outbound

This paper cites Applying pragmatics principles for interaction with visual analytics,.

Momentum Based Reward Design for Low Emission Traffic Signal Control Applying pragmatics principles for interaction with visual analytics,

Reference 27

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source=pdf_text observed=2026-07-12T15:42:54.504026Z digest=sha256:f0732f5fc38e9f1042a8995fb974f8dd16d1b37110222f77f05a8741e0c2f028

Observation baeab568-2bbe-4e10-a492-38ba6532da64 · outbound

This paper cites Flowsense: A natural language interface for visual data exploration within a dataflow system,.

Momentum Based Reward Design for Low Emission Traffic Signal Control Flowsense: A natural language interface for visual data exploration within a dataflow system,

Reference 28

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Observation f33f06ef-9018-4c51-9097-00006afd76bf · outbound

This paper cites Data2vis: Automatic generation of data visualizations using sequence-to-sequence recurrent neural networks,.

Momentum Based Reward Design for Low Emission Traffic Signal Control Data2vis: Automatic generation of data visualizations using sequence-to-sequence recurrent neural networks,

Reference 29

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source=pdf_text observed=2026-07-12T15:42:54.504026Z digest=sha256:89fb140b82802a955e2416eb2d11a4891f674b5fe206798495147f9b7a706aa9

Observation cc297b7f-64b8-4aac-8652-83b9ef8f8bad · outbound

This paper cites Chat2vis: Generating data visualizations via natural language using chatgpt, codex and gpt-3 large language models,.

Momentum Based Reward Design for Low Emission Traffic Signal Control Chat2vis: Generating data visualizations via natural language using chatgpt, codex and gpt-3 large language models,

Reference 30

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Observation af50d5bf-5bbb-491d-977c-800251f45e55 · outbound

This paper cites prompt4vis: prompting large language models with example mining for tabular data visualization,.

Momentum Based Reward Design for Low Emission Traffic Signal Control prompt4vis: prompting large language models with example mining for tabular data visualization,

Reference 31

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Observation 7e32d109-4213-42cb-9c5a-535536b4980b · outbound

This paper cites The design and implementation of xiaoice, an empathetic social chatbot,.

Momentum Based Reward Design for Low Emission Traffic Signal Control The design and implementation of xiaoice, an empathetic social chatbot,

Reference 32

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Observation a58a7951-4dfb-490e-a1e1-caf2ab1e0723 · outbound

This paper cites Towards a Human-like Open-Domain Chatbot.

Momentum Based Reward Design for Low Emission Traffic Signal Control Towards a Human-like Open-Domain Chatbot

Reference 33

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Observation 3d5cb346-b576-44cb-8102-a05cf00dd28a · outbound

This paper cites BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage.

Momentum Based Reward Design for Low Emission Traffic Signal Control BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage

Reference 34

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Observation 83f041b3-9580-4814-8567-8fdde78970fc · outbound

This paper cites Dialogue act recognition via crf-attentive structured network,.

Momentum Based Reward Design for Low Emission Traffic Signal Control Dialogue act recognition via crf-attentive structured network,

Reference 35

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source=pdf_text observed=2026-07-12T15:42:54.504026Z digest=sha256:20b59eb08d8a5a38faef7b61df3e6399451918279cd9d06cfa067ccece6f2e0c

Observation f4a46142-52b9-45c9-85f1-f5be1d981f3b · outbound

This paper cites Recent advances and challenges in task-oriented dialog systems,.

Momentum Based Reward Design for Low Emission Traffic Signal Control Recent advances and challenges in task-oriented dialog systems,

Reference 36

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Observation bbe4d4b4-8381-4859-aa5d-8290d73a16d3 · outbound

This paper cites Recent neural methods on dialogue state tracking for task-oriented dialogue systems: A survey,.

Momentum Based Reward Design for Low Emission Traffic Signal Control Recent neural methods on dialogue state tracking for task-oriented dialogue systems: A survey,

Reference 37

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source=pdf_text observed=2026-07-12T15:42:54.504026Z digest=sha256:a3d5a3df8766a6df0bd210af3e189e728c3e3ca50ccffa7a694fda757a247a46

Observation a16b034c-2d74-4454-8b6f-d4c8a4a125e4 · outbound

This paper cites End-to-end task-completion neural dialogue systems,.

Momentum Based Reward Design for Low Emission Traffic Signal Control End-to-end task-completion neural dialogue systems,

Reference 38

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no resolver link, observed 2026-07-12T15:42:54.504026Z

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source=pdf_text observed=2026-07-12T15:42:54.504026Z digest=sha256:07fcc276a362ba841b77b6534d32b1cde16d384facdae2eb7bdd1afc7beaa75b

Observation 8f4b7270-eea6-4558-9334-72a75a3d9a03 · outbound

This paper cites A network-based end-to-end trainable task-oriented dialogue system,.

Momentum Based Reward Design for Low Emission Traffic Signal Control A network-based end-to-end trainable task-oriented dialogue system,

Reference 39

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source=pdf_text observed=2026-07-12T15:42:54.504026Z digest=sha256:60cee2f08a0e0ee19ef180320e3c7ba6f2de1e0f09d334f076d2fffe67b34e96

Observation 419cdf62-07c3-43d6-95a2-b56e5ec3585e · outbound

This paper cites Ubar: Towards fully end-to-end task- oriented dialog system with gpt-2,.

Momentum Based Reward Design for Low Emission Traffic Signal Control Ubar: Towards fully end-to-end task- oriented dialog system with gpt-2,

Reference 40

Resolution
unresolved
no resolver link, observed 2026-07-12T15:42:54.504026Z

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source=pdf_text observed=2026-07-12T15:42:54.504026Z digest=sha256:8859847361da0e9d9485a64f60b5d0dd97ef5336ee134c2468c814cede2d9c6e

Observation faceeca8-95a9-4f94-82d9-5196eb1ce576 · outbound

This paper cites Attention is all you need,.

Momentum Based Reward Design for Low Emission Traffic Signal Control Attention is all you need,

Reference 41

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no resolver link, observed 2026-07-12T15:42:54.504026Z

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source=pdf_text observed=2026-07-12T15:42:54.504026Z digest=sha256:249b8fbc920e83691e87451ae00a9af3cd732a012f9bb7d37893d1324bfc27fc

Pith citing papers

No inbound Pith citation observations are available.