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Paper Citation Record · LEDGER

CarbonChat: Large Language Model-Based Corporate Carbon Emission Analysis and Climate Knowledge Q&A System

As of 11 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 1 inbound Pith citation observation for arXiv:2501.02031.

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

pith.paper-citation-record.v1
2501.02031 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:26:09.785216Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-15T21:58:04.706427Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T22:00:21.421848Z

Reference resolution

34 of 34 outbound references displayed

  • verified exact2
  • verified fuzzy14
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3a7a4757-5616-4d26-9249-04dbe044a62f · outbound

This paper cites an unresolved cited work.

CarbonChat: Large Language Model-Based Corporate Carbon Emission Analysis and Climate Knowledge Q&A System Unresolved cited work

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 0b69ab97-f850-46e5-8b47-13b22b608120 · outbound

This paper cites Qwen Technical Report.

CarbonChat: Large Language Model-Based Corporate Carbon Emission Analysis and Climate Knowledge Q&A System Qwen Technical Report

Reference 2

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source=pdf_text observed=2026-08-10T22:26:09.647680Z digest=sha256:8b923f8e0dd37036aad5ad7f5f12356548570f8e9a6f7ac680b61136a1a3b2dc

Observation eb81ec88-2788-4838-80c3-617ebdaea805 · outbound

This paper cites The Greenhouse Gas Protocol: A Corporate Accounting and Reporting Standard (Revised Edition).

CarbonChat: Large Language Model-Based Corporate Carbon Emission Analysis and Climate Knowledge Q&A System The Greenhouse Gas Protocol: A Corporate Accounting and Reporting Standard (Revised Edition)

Reference 3

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raw_fallback, observed 2026-08-10T22:26:10.427815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:09.652715Z digest=sha256:f8556e90f9e68f4d742cb77234355dc2f2a957333297b148823d6e46c5b0bbde

Observation 5bcf380e-e230-4b18-8941-3a2c95e8c8de · outbound

This paper cites chatClimate: Grounding Conversational AI in Climate Science.

CarbonChat: Large Language Model-Based Corporate Carbon Emission Analysis and Climate Knowledge Q&A System chatClimate: Grounding Conversational AI in Climate Science

Reference 4

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verified exact
local_arxiv, observed 2026-08-10T22:26:10.162277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:09.657343Z digest=sha256:a42953b507b1f87a2d57285e5a75914bea56dedd35ea23dd99a7bb437a0a692e

Observation df1118a3-d229-4c24-bce6-a132117d98ef · outbound

This paper cites CHATREPORT: Democratizing Sustainability Disclosure Analysis through LLM-based Tools.

CarbonChat: Large Language Model-Based Corporate Carbon Emission Analysis and Climate Knowledge Q&A System CHATREPORT: Democratizing Sustainability Disclosure Analysis through LLM-based Tools

Reference 5

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:09.662008Z digest=sha256:c53981104581f83cbd3c35442eb15dbf9b72c6019d2fbb916694b78a4939b8ed

Observation adbb1a12-8a44-4ab1-8ff4-e3a440d58d5a · outbound

This paper cites Carbon price forecasting with llm-based refinement and transfer-learning.

CarbonChat: Large Language Model-Based Corporate Carbon Emission Analysis and Climate Knowledge Q&A System Carbon price forecasting with llm-based refinement and transfer-learning

Reference 6

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raw_fallback, observed 2026-08-10T22:26:10.413515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:09.666280Z digest=sha256:e39153c2003d0b00d7cd470ebf9e524aabb0b9f5806e8562a04deb266e2a2489

Observation 2a1a8008-7d32-4133-b4a0-8f1b1a9da2c1 · outbound

This paper cites LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models.

CarbonChat: Large Language Model-Based Corporate Carbon Emission Analysis and Climate Knowledge Q&A System LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models

Reference 7

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source=pdf_text observed=2026-08-10T22:26:09.670814Z digest=sha256:162b710cf6a3c4ba744a674a357ecea28fc2f122e06cdff509a562813e6faa55

Observation e5dfb6d0-96f9-4359-b488-6deec0128255 · outbound

This paper cites Research on a science and technology policy and regulation q&a system driven by large models.

CarbonChat: Large Language Model-Based Corporate Carbon Emission Analysis and Climate Knowledge Q&A System Research on a science and technology policy and regulation q&a system driven by large models

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:09.674878Z digest=sha256:c0d42e168f57918909e355d114d69ebb629b48176603ac8866bbbee7dd15672b

Observation dbdf63b0-6282-433d-a083-399f63d5f60d · outbound

This paper cites Multi- strategy retrieval-enhanced generation method for knowledge q&a systems in military domains.

CarbonChat: Large Language Model-Based Corporate Carbon Emission Analysis and Climate Knowledge Q&A System Multi- strategy retrieval-enhanced generation method for knowledge q&a systems in military domains

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:09.678790Z digest=sha256:c30acc266a727d3000f9078bdedf1324ec48b3edd2bf9379b5b26cb33b47f38a

Observation e053f814-d77d-4387-8368-aa5a547ca8f4 · outbound

This paper cites Agricultural policy q&a system based on chatglm2-6b.Data and Computing Frontier (Chinese and English), 6(04):116–127, 2024.

CarbonChat: Large Language Model-Based Corporate Carbon Emission Analysis and Climate Knowledge Q&A System Agricultural policy q&a system based on chatglm2-6b.Data and Computing Frontier (Chinese and English), 6(04):116–127, 2024

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:09.682449Z digest=sha256:d6d17bd5f739b764661350e5c47481ca19d0a810a77559f9f36bab8b624b3d94

Observation 3213c996-195e-4166-87fd-2c12b112ddda · outbound

This paper cites Survey of hallucination in natural language generation.

CarbonChat: Large Language Model-Based Corporate Carbon Emission Analysis and Climate Knowledge Q&A System Survey of hallucination in natural language generation

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:09.686114Z digest=sha256:f9409ce74cc5016569772d00a736049fa769169234ffdabbbfee47026e67f52e

Observation a8e789b4-0b1b-4d26-952f-a3d25ce639f9 · outbound

This paper cites SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models.

CarbonChat: Large Language Model-Based Corporate Carbon Emission Analysis and Climate Knowledge Q&A System SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models

Reference 12

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source=pdf_text observed=2026-08-10T22:26:09.689769Z digest=sha256:3d6ca4ef45651198a1cae47639dc297cef8d779b4c910d7cc00a253556c2ef72

Observation f132047f-24e5-4c19-9810-60b809ba9d0d · outbound

This paper cites Evaluating the factual consistency of large language models through news summarization.

CarbonChat: Large Language Model-Based Corporate Carbon Emission Analysis and Climate Knowledge Q&A System Evaluating the factual consistency of large language models through news summarization

Reference 13

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:09.694350Z digest=sha256:b33c8ad26f55781e385b1d8a900421e8112f1cb4efcd256d55ed00794c12cc90

Observation 5a35d67d-544b-4625-bc1d-b7758c17741e · outbound

This paper cites why is this misleading?.

CarbonChat: Large Language Model-Based Corporate Carbon Emission Analysis and Climate Knowledge Q&A System why is this misleading?

Reference 14

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raw_fallback, observed 2026-08-10T22:26:10.323222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:09.698597Z digest=sha256:42affa4425e2fc630934b6b15c82fdc426af46eb54382d93e038aa9c68f3dbb0

Observation 4696aef5-eed9-4da6-b8a8-09890e88e894 · outbound

This paper cites HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models.

CarbonChat: Large Language Model-Based Corporate Carbon Emission Analysis and Climate Knowledge Q&A System HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models

Reference 15

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source=pdf_text observed=2026-08-10T22:26:09.702898Z digest=sha256:4d233e0b4b9815e6effdaa84698c4d4dce46734dd0dfc5b1bca4bdb0c9099c1e

Observation 27b5b1e8-fb96-41f3-bd76-2641ffe21df2 · outbound

This paper cites Fact-Checking of AI-Generated Reports.

CarbonChat: Large Language Model-Based Corporate Carbon Emission Analysis and Climate Knowledge Q&A System Fact-Checking of AI-Generated Reports

Reference 16

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local_arxiv, observed 2026-08-10T22:26:10.081076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:09.707643Z digest=sha256:6297bf12fd211a1772c300ea3964be2a36beed40bec9c44749901bbea2474665

Observation 2afcf3e3-6cce-42df-9541-78b5a9943ad9 · outbound

This paper cites BARTScore: Evaluating Generated Text as Text Generation.

CarbonChat: Large Language Model-Based Corporate Carbon Emission Analysis and Climate Knowledge Q&A System BARTScore: Evaluating Generated Text as Text Generation

Reference 17

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source=pdf_text observed=2026-08-10T22:26:09.712151Z digest=sha256:52c5b9e62f67c03e108e2c907f6aa29f3475a0ea9b5a8d452222a8e19c8faa17

Observation d74c19a4-c3d9-4d63-b7cb-2165ec785761 · outbound

This paper cites Knowledge of knowledge: Exploring known-unknowns uncertainty with large language models.

CarbonChat: Large Language Model-Based Corporate Carbon Emission Analysis and Climate Knowledge Q&A System Knowledge of knowledge: Exploring known-unknowns uncertainty with large language models

Reference 18

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 9f45102b-606a-425b-854f-81ce9d294516 · outbound

This paper cites an unresolved cited work.

CarbonChat: Large Language Model-Based Corporate Carbon Emission Analysis and Climate Knowledge Q&A System Unresolved cited work

Reference 19

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:09.720862Z digest=sha256:29f104a217ed883e7c91741c3258617291e1a20c232e1d8348728cbf90fa4d55

Observation 35b297bc-940c-4c92-9510-24184363b1d9 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

CarbonChat: Large Language Model-Based Corporate Carbon Emission Analysis and Climate Knowledge Q&A System Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 20

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source=pdf_text observed=2026-08-10T22:26:09.725009Z digest=sha256:be7703ad6bef00c6e65771ab31bbf0169c6311671ed8c7e5a19651d0465229a9

Observation 44f55670-b339-41d5-8373-50d0539a0c06 · outbound

This paper cites Mathpix snip: A tool for converting handwritten and printed mathematics to latex, 2023.

CarbonChat: Large Language Model-Based Corporate Carbon Emission Analysis and Climate Knowledge Q&A System Mathpix snip: A tool for converting handwritten and printed mathematics to latex, 2023

Reference 21

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:09.729512Z digest=sha256:9862987ff37e3a9b1343fc46585ea1942447010a7026aaeb068bc00d87eca731

Observation 1108102e-7f53-4a0e-8d37-cf0652366ecd · outbound

This paper cites an unresolved cited work.

CarbonChat: Large Language Model-Based Corporate Carbon Emission Analysis and Climate Knowledge Q&A System Unresolved cited work

Reference 22

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 2faa9b02-b393-4d29-8c13-d9cfa9d4791a · outbound

This paper cites C-Pack: Packed Resources For General Chinese Embeddings.

CarbonChat: Large Language Model-Based Corporate Carbon Emission Analysis and Climate Knowledge Q&A System C-Pack: Packed Resources For General Chinese Embeddings

Reference 23

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source=pdf_text observed=2026-08-10T22:26:09.738249Z digest=sha256:804e799c9165030eb4973e2eae3059a5d4decd681dc0ddb8049cfa038e480827

Observation 8bb27802-c9c5-4544-8c70-19b88db50757 · outbound

This paper cites Bge m3-embedding: Multi-lingual, multi-functionality, multi-granularity text embeddings through self-knowledge distillation.

CarbonChat: Large Language Model-Based Corporate Carbon Emission Analysis and Climate Knowledge Q&A System Bge m3-embedding: Multi-lingual, multi-functionality, multi-granularity text embeddings through self-knowledge distillation

Reference 24

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source=pdf_text observed=2026-08-10T22:26:09.742878Z digest=sha256:a7653055e624c46011a26655ac61e11d289f3c254e759bd23e54ed2e4722262d

Observation 71d27cc8-50e1-4891-ab6d-fcaf231cbdb2 · outbound

This paper cites DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-Correction.

CarbonChat: Large Language Model-Based Corporate Carbon Emission Analysis and Climate Knowledge Q&A System DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-Correction

Reference 25

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source=pdf_text observed=2026-08-10T22:26:09.747180Z digest=sha256:22e6bda0ae0497e001b09204420d1e3acd332277eb0000b1c0b859bfcc67f390

Observation 09f8a527-b6f7-4bd6-a8f0-866acf7f0988 · outbound

This paper cites Cdp global climate change report 2023, 2023.

CarbonChat: Large Language Model-Based Corporate Carbon Emission Analysis and Climate Knowledge Q&A System Cdp global climate change report 2023, 2023

Reference 26

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raw_fallback, observed 2026-08-10T22:26:10.244327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:09.751545Z digest=sha256:9109fe5544960c4ea7d0dda0c9cd5f23736079602a9d00ef0d4501049e368a21

Observation e9cc9118-e84d-417e-8aa5-b5851d01fb49 · outbound

This paper cites Rouge: A package for automatic evaluation of summaries.

CarbonChat: Large Language Model-Based Corporate Carbon Emission Analysis and Climate Knowledge Q&A System Rouge: A package for automatic evaluation of summaries

Reference 27

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raw_fallback, observed 2026-08-10T22:26:10.224397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:09.756006Z digest=sha256:f8532720ac63c62764a3b1616fa10a358a657cd34470accbf312bb69b2da59cf

Observation 83bebf76-3fd7-4c45-b4e0-ac87241543a8 · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

CarbonChat: Large Language Model-Based Corporate Carbon Emission Analysis and Climate Knowledge Q&A System BERTScore: Evaluating Text Generation with BERT

Reference 28

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source=pdf_text observed=2026-08-10T22:26:09.760125Z digest=sha256:eb724643969687cb531320870cb51466c7bfe7d417c2b21270f55b2534f919fe

Observation f2a9889d-4f3d-47e2-8352-04fc70e51aea · outbound

This paper cites Tcsr-sql: Towards table content-aware text-to-sql with self-retrieval.

CarbonChat: Large Language Model-Based Corporate Carbon Emission Analysis and Climate Knowledge Q&A System Tcsr-sql: Towards table content-aware text-to-sql with self-retrieval

Reference 29

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source=pdf_text observed=2026-08-10T22:26:09.764764Z digest=sha256:b32f969d851bb077e0505f2517fd26c815dcdaffa318414dfe11bbf4a9152d64

Observation 53d52563-a1fd-4cfb-ae53-0ac4ad849824 · outbound

This paper cites Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task.

CarbonChat: Large Language Model-Based Corporate Carbon Emission Analysis and Climate Knowledge Q&A System Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:09.769040Z digest=sha256:d03494c092d7564531fb614b4f8cd8155c51cb3353a64db7192095259ce1fcc2

Observation 64e2aa76-54de-47d2-8a5f-6954cbd7f1e0 · outbound

This paper cites ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.

CarbonChat: Large Language Model-Based Corporate Carbon Emission Analysis and Climate Knowledge Q&A System ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

Reference 31

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source=pdf_text observed=2026-08-10T22:26:09.773574Z digest=sha256:1e87ca8ce6ac1de26b12004f14390fd172e139342bc4b37fad6a707e90afe0f6

Observation 11913cce-5568-44aa-9547-5a36f8d5bbf9 · outbound

This paper cites Xinghuo: Ai platform by iflytek, 2024.

CarbonChat: Large Language Model-Based Corporate Carbon Emission Analysis and Climate Knowledge Q&A System Xinghuo: Ai platform by iflytek, 2024

Reference 32

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raw_fallback, observed 2026-08-10T22:26:10.209277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:09.777751Z digest=sha256:1d4e8219043a05544cf92da1ce8abe18fb75ecc1b661e641442b9ba7a5b5a950

Observation 83e14210-7213-4f22-91e6-622682d16ce1 · outbound

This paper cites Baidu cloud, 2024.

CarbonChat: Large Language Model-Based Corporate Carbon Emission Analysis and Climate Knowledge Q&A System Baidu cloud, 2024

Reference 33

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raw_fallback, observed 2026-08-10T22:26:10.193392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:09.781414Z digest=sha256:70ec8cee81ee7c3297e849bed90a3427695c50aba0638b0668d4803ba42564cd

Observation 63193e7a-b514-43ac-b3a7-031a5db528b7 · outbound

This paper cites The Llama 3 Herd of Models.

CarbonChat: Large Language Model-Based Corporate Carbon Emission Analysis and Climate Knowledge Q&A System The Llama 3 Herd of Models

Reference 34

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:09.785216Z digest=sha256:d3ad88921040d6577f04b18b891af95f0f2db5bc72efd4cbf706baf71032f2a0

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GaiaFlow: Semantic-Guided Diffusion Tuning for Carbon-Frugal Search cites this paper.

GaiaFlow: Semantic-Guided Diffusion Tuning for Carbon-Frugal Search CarbonChat: Large Language Model-Based Corporate Carbon Emission Analysis and Climate Knowledge Q&A System

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