Pith. sign in

Paper Citation Record · LEDGER

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

As of 20 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 2026-08-20T06:33:59.587034+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

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:26:10.440802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:26:09.642144Z digest=sha256:122f1bd638b949ec2c93b63849743162ee736cad6d62afca7717d62505ae078f

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

Resolution
unresolved
no resolver link, observed 2026-08-10T22:26:09.647680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:09.647680Z digest=sha256:da6d92e8e0898a18a5fc80242f888cf54b4d1ebd9d5da8883ac08dc6c236f64b

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

Resolution
verified fuzzy
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:26:09.652715Z digest=sha256:6cd0e3cf24a97554a3d1549789f855c0e89d024d9b4a208d7c539b7f07651419

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

Resolution
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:26:09.657343Z digest=sha256:17b4db4e58c287042cfb320f77fbddc2bfe994d302ea53f7d300aa5130cc14f7

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

Resolution
unresolved
no resolver link, observed 2026-08-10T22:26:09.662008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:09.662008Z digest=sha256:617a910e1854c2aee8462503b80ca7f8fc93024956507c9847455360dc28e2b5

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

Resolution
verified fuzzy
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:26:09.666280Z digest=sha256:e74ee79112c3c4abfb2a56ba0f696ed4c3b2d40edf97cd8b0fd5ae42e803fa98

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

Resolution
unresolved
no resolver link, observed 2026-08-10T22:26:09.670814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:09.670814Z digest=sha256:29c1730edc70bc8289af3c74d32aa70cdac2840ee16dc597e28ca3095a79ba3a

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:26:10.398749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:26:09.674878Z digest=sha256:32613409828d84d39975cd7592baedc1669cb9d167014a90febd710c85c27f9a

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:26:10.383902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:26:09.678790Z digest=sha256:e11d55c7de83763c16de068b387a667ad48df81bc4df8090cdb3694312800d03

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:26:10.369103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:26:09.682449Z digest=sha256:044e085d2fe6b15cdbb6d7695e914eec0bd0dbe56ba7b16175d8b36664bc79c9

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:26:10.354461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:26:09.686114Z digest=sha256:58f35583b33c8017ca590908be7ba369b5778e6188fa2d71c25ca0ac8af75bfb

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

Resolution
unresolved
no resolver link, observed 2026-08-10T22:26:09.689769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:09.689769Z digest=sha256:fd66356aeec7e2f9d9d33de51fbe767ff3afcc81c30f359f5a9d6257264d7e0c

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:26:10.339165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:26:09.694350Z digest=sha256:8eecea1708fa08cb05e7c53355b1ea40dd514f769ded5c97c28a64f548e1c01c

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

Resolution
verified fuzzy
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:26:09.698597Z digest=sha256:7564ff72b41af5f8700e1ca151ab9605b135a3833808aa4911e2b015ac2edd4f

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

Resolution
unresolved
no resolver link, observed 2026-08-10T22:26:09.702898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:09.702898Z digest=sha256:2d60352b5fccbbc0c54119cfcb81c1669a2d4953a1e556fe2b6e746f7084fca3

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

Resolution
verified exact
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:26:09.707643Z digest=sha256:e05e7ff711578094aee7035e16194184009f7373c75e38a5b9c13e18892ea860

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

Resolution
unresolved
no resolver link, observed 2026-08-10T22:26:09.712151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:09.712151Z digest=sha256:292d1a020338d8ce64fe7410a0c877935d26aca0b20195718c14a6f48a5c5307

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:26:10.308901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:26:09.716636Z digest=sha256:2dbdb72c788384d54e7b830d20898bf47b7a40b699f7fedcdbf06add880c7ccb

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

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:26:10.294366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:26:09.720862Z digest=sha256:8b9b3e83184ab60704917add803da1cc5441e08e5e50cd2c1d7cc438bd696049

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

Resolution
unresolved
no resolver link, observed 2026-08-10T22:26:09.725009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:09.725009Z digest=sha256:49c0c78536ac3ef96e134763dae1a642d26d0d37954406b3d68e0ff01ab63c52

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:26:10.280188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:26:09.729512Z digest=sha256:2de4862fb3df032fdb7eb1b72a3db9c3c3352b7101dc843491349d8a5a8200e6

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

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:26:10.266690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:26:09.733792Z digest=sha256:81086f42b68d48bd24140090ef22cc5fab0164567f45b927440dabb34c863e4b

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

Resolution
unresolved
no resolver link, observed 2026-08-10T22:26:09.738249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:09.738249Z digest=sha256:bda981b3093bf282cc7b3652c1fd795a8b63608464d2cf431e8f0b1280aaa85a

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

Resolution
unresolved
no resolver link, observed 2026-08-10T22:26:09.742878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:09.742878Z digest=sha256:6c2f102623e4b4a76922f13c38f65c92a442e610686f6dce947cd9b911ac27ad

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

Resolution
unresolved
no resolver link, observed 2026-08-10T22:26:09.747180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:09.747180Z digest=sha256:d64b3a25e001f54975757ea301bb1bbeaa93ec75707d43416759dc1242b4f1a9

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

Resolution
verified fuzzy
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:26:09.751545Z digest=sha256:965fa297094ff2cc0e701408b31b54d3e0fb2ef955dac1c48c0df85a7e2d38ec

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

Resolution
verified fuzzy
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:26:09.756006Z digest=sha256:df00956ef179d111218f2c31c00137b889a67ba8126e04eafb7a3ae2a2f0cda2

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

Resolution
unresolved
no resolver link, observed 2026-08-10T22:26:09.760125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:09.760125Z digest=sha256:1defb5c4b2461653fb501b46656871e2e3ede804c6b6d0ef03448edcc0dd5e62

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

Resolution
unresolved
no resolver link, observed 2026-08-10T22:26:09.764764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:09.764764Z digest=sha256:137e5a77a5853b4cf2fd09ff8bc78153cc759be06d5d748079feca464402aa69

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

Resolution
unresolved
no resolver link, observed 2026-08-10T22:26:09.769040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:09.769040Z digest=sha256:6ae0f33148ea68fc99230211a64ee63b184e61076c1034f514b21eed9e2f7ba2

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

Resolution
unresolved
no resolver link, observed 2026-08-10T22:26:09.773574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:09.773574Z digest=sha256:084f2692c2bf095f924cc6044bac426ac0b11d74c09ad7f8883518cfb4b8d8e4

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

Resolution
verified fuzzy
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:26:09.777751Z digest=sha256:968668d0509d74943f7a422f05e62cb7646a33e31efe98ffec93d2b5d3199a07

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

Resolution
verified fuzzy
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:26:09.781414Z digest=sha256:85f6aa7732059c955881915a2c5ca7dc66e1b9b498af43067ccd0223638d376a

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

Resolution
unresolved
no resolver link, observed 2026-08-10T22:26:09.785216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:09.785216Z digest=sha256:ca00baf0349f6a9f6c73547978bf5a725a18e9359193845bf18ea3a0c282cfa4

Pith citing papers

Observation 688811c7-e991-4f27-99b0-b01ebc6ad60a · inbound

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

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-15T22:00:21.425840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-15T21:58:04.706427Z digest=sha256:a2ebc34182933872364524e64fe86389579eb8e83b45727469eb3db99459f2b6