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Paper Citation Record · LEDGER

CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation

As of 7 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 1 inbound Pith citation observation for arXiv:2508.03489.

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

pith.paper-citation-record.v1
2508.03489 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:30:49.608528Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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 2026-05-15T22:00:21.428443Z

Reference resolution

51 of 51 outbound references displayed

  • verified exact3
  • verified fuzzy1
  • unresolved47
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 02554762-4e2a-47aa-99ff-10da6e79b810 · outbound

This paper cites an unresolved cited work.

CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation Unresolved cited work

Reference 1

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Source-reported events for the cited work

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Observation 88658eb4-5fee-4f19-9308-bdcb6d90bb12 · outbound

This paper cites an unresolved cited work.

CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation Unresolved cited work

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 1375da70-6247-4684-9b2b-0f63d9847334 · outbound

This paper cites an unresolved cited work.

CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation Unresolved cited work

Reference 3

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Source-reported events for the cited work

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Observation 7732d1b0-b77f-4066-81ce-1e6146eb7711 · outbound

This paper cites Language Models are Few-Shot Learners.

CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation Language Models are Few-Shot Learners

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6e16f8b7-8fa7-47ae-8616-3561da6fd8a8 · outbound

This paper cites an unresolved cited work.

CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation Unresolved cited work

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 91bd9dc0-482f-46fc-a42a-597951238e2d · outbound

This paper cites TabFact: A Large-scale Dataset for Table-based Fact Verification.

CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation TabFact: A Large-scale Dataset for Table-based Fact Verification

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d905b9bb-4acb-43b4-a2fb-01f02ec30f91 · outbound

This paper cites HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data.

CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data

Reference 7

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Source-reported events for the cited work

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Observation 4493765d-a814-4eb9-937b-071e6f0d7d8e · outbound

This paper cites an unresolved cited work.

CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation Unresolved cited work

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 77456a36-5d34-4ee0-ae48-7cf641000406 · outbound

This paper cites ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question Answering.

CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question Answering

Reference 9

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Observation 564a00f7-bc75-421c-aa64-02312f1c07ed · outbound

This paper cites an unresolved cited work.

CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation Unresolved cited work

Reference 10

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Source-reported events for the cited work

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Observation cb9a4f23-3cae-42e7-9b40-269768e3b84a · outbound

This paper cites an unresolved cited work.

CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation Unresolved cited work

Reference 11

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Source-reported events for the cited work

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Observation 2d707d0d-54e7-4d17-ac0a-724e1c5654fb · outbound

This paper cites DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs.

CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a0816854-49ce-46c4-a9a3-fb59756a1fe4 · outbound

This paper cites SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine.

CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine

Reference 13

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Source-reported events for the cited work

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Observation 387696ef-6adc-4988-af66-685826dc3cf0 · outbound

This paper cites an unresolved cited work.

CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation Unresolved cited work

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation e0b06d23-1104-4f64-a4a0-f705a38a0298 · outbound

This paper cites Atlas: Few-shot Learning with Retrieval Augmented Language Models.

CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation Atlas: Few-shot Learning with Retrieval Augmented Language Models

Reference 15

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Observation d053475c-ef08-4631-8894-950863cce215 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 16

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Observation 2de76d55-7dbe-47f4-8769-c5de027c9d63 · outbound

This paper cites an unresolved cited work.

CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation Unresolved cited work

Reference 17

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Source-reported events for the cited work

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Observation 5f9ebf2f-7314-42d3-a4e7-a6709604bafa · outbound

This paper cites an unresolved cited work.

CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation Unresolved cited work

Reference 18

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Unavailable: canonical work link unavailable.

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Observation 9cae5cfb-7004-4968-8269-ee1299a587d5 · outbound

This paper cites ChartLlama: A Multimodal LLM for Chart Understanding and Generation.

CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation ChartLlama: A Multimodal LLM for Chart Understanding and Generation

Reference 19

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This paper cites 2018.Life cycle assessment.

CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation 2018.Life cycle assessment

Reference 20

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verified fuzzy
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Source-reported events for the cited work

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Observation 5f5ac5fe-4362-4c4d-a68d-9979ceaaaed4 · outbound

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Reference 21

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Observation c5055e34-c738-48fe-978f-0fe1e60869d5 · outbound

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

CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation LoRA: Low-Rank Adaptation of Large Language Models

Reference 22

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Observation c8277563-6672-4df6-87ba-17fd3bc63f78 · outbound

This paper cites GPT-4o System Card.

CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation GPT-4o System Card

Reference 23

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Observation 9ac1a779-fb5c-4248-abe3-12bb0b8415c7 · outbound

This paper cites Unsupervised Dense Information Retrieval with Contrastive Learning.

CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation Unsupervised Dense Information Retrieval with Contrastive Learning

Reference 24

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Observation 4cb40f2c-26a4-4ef4-9e94-86a243878492 · outbound

This paper cites OCR-free Document Understanding Transformer.

CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation OCR-free Document Understanding Transformer

Reference 25

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Observation c487c4af-586b-4eed-b576-1120cebc45fc · outbound

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CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation Adam: A Method for Stochastic Optimization

Reference 26

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Observation 89c0293f-005f-4896-b74e-312369731605 · outbound

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Reference 29

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Reference 30

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Observation f9b31a64-2874-424b-9656-13a88820fe33 · outbound

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Reference 31

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CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories

Reference 32

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Observation cfc4e66c-c4a1-4047-81a6-89dfbbdc8aeb · outbound

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CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation Unresolved cited work

Reference 33

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Observation c0a0bd4b-36f8-4c62-8e0e-2e658d20fed8 · outbound

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Reference 34

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Source-reported events for the cited work

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Observation e11c621d-bb0c-4ed6-b7d0-b86690098f30 · outbound

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Reference 35

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Source-reported events for the cited work

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Observation 46f43ce6-54bd-463f-bef1-1c17d374f0e9 · outbound

This paper cites SQuAD: 100,000+ Questions for Machine Comprehension of Text.

CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation SQuAD: 100,000+ Questions for Machine Comprehension of Text

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 51a15546-474c-4bec-9639-f39b606865c3 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 37

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source=pdf_text observed=2026-08-06T04:30:49.580278Z digest=sha256:b43dfd3320fcbf8f5f49be442575180bed9eb5e2b72a980b8e8170af817c742a

Observation ec3110d7-4581-4b16-aab6-db476a587dc3 · outbound

This paper cites an unresolved cited work.

CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation Unresolved cited work

Reference 38

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raw_fallback, observed 2026-08-06T04:30:49.811659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation dde97130-7e21-4585-a287-4d2cdb7d32c1 · outbound

This paper cites an unresolved cited work.

CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation Unresolved cited work

Reference 39

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raw_fallback, observed 2026-08-06T04:30:49.805137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T04:30:49.584317Z digest=sha256:d937ef697c85909c9d5e86e1ee13897d4063e7176c3f32fa0f9abc88e6d6f1bb

Observation cbd42d70-dd5d-4aef-a4ac-f015523dd49a · outbound

This paper cites The Web as a Knowledge-base for Answering Complex Questions.

CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation The Web as a Knowledge-base for Answering Complex Questions

Reference 40

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T04:30:49.586633Z digest=sha256:6a65013b1c0817ec89b0362be2bdadf688c499076b40c7fcac4533db08332c49

Observation e0f70fcc-d969-4603-ad9c-d1766f3f1f8f · outbound

This paper cites an unresolved cited work.

CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation Unresolved cited work

Reference 41

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no resolver link, observed 2026-08-06T04:30:49.588841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:30:49.588841Z digest=sha256:39464efd74053dc8798a21703854c789f5cbe06ed8af31369cad0617c5ab9f6f

Observation dfdccc1a-746e-474c-a2d0-f82c5c7c7a4b · outbound

This paper cites Multi-View Graph Representation Learning for Answering Hybrid Numerical Reasoning Question.

CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation Multi-View Graph Representation Learning for Answering Hybrid Numerical Reasoning Question

Reference 42

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verified exact
local_arxiv, observed 2026-08-06T04:30:49.669549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T04:30:49.591027Z digest=sha256:4f10dca274f9f4546c7b699ef6cbb164dd6da2bc0372679f44f280b6c2500447

Observation 636bb92c-1e61-4f12-ad6c-d507d3e49281 · outbound

This paper cites an unresolved cited work.

CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation Unresolved cited work

Reference 43

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unresolved
raw_fallback, observed 2026-08-06T04:30:49.795101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T04:30:49.593058Z digest=sha256:0b321d46616c63f745534dd32925ed5db3a5bf83a656a8e6c9bf3029dc0f203e

Observation a270e95d-429c-48a8-a611-7d33556e4bf1 · outbound

This paper cites HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering.

CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Reference 44

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no resolver link, observed 2026-08-06T04:30:49.594865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:30:49.594865Z digest=sha256:685e89460638d28fc231ff11ed4bd8ef4232e1320d4be033dba7e9c41d7db57c

Observation 78a352f2-7fcd-49e9-b0b6-788e5ab663fa · outbound

This paper cites FinLLMs: A Framework for Financial Reasoning Dataset Generation with Large Language Models.

CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation FinLLMs: A Framework for Financial Reasoning Dataset Generation with Large Language Models

Reference 45

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unresolved
no resolver link, observed 2026-08-06T04:30:49.596932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:30:49.596932Z digest=sha256:a30b9d475a200017eb713450e660beb4ab252a432c37646d099fb6a5a5f6aaaa

Observation 1ffeea26-0ce3-4316-babf-1975b07d6418 · outbound

This paper cites UniRPG: Unified Discrete Reasoning over Table and Text as Program Generation.

CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation UniRPG: Unified Discrete Reasoning over Table and Text as Program Generation

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-08-06T04:30:49.648439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T04:30:49.599361Z digest=sha256:3ca0d7ea17605cdf177b2eca38d700db62425b43dcd1fe41665985afc253d256

Observation bc9ef423-4818-48ad-b767-5d1b2e91b9c9 · outbound

This paper cites an unresolved cited work.

CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation Unresolved cited work

Reference 47

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unresolved
raw_fallback, observed 2026-08-06T04:30:49.789093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T04:30:49.601858Z digest=sha256:0c9d9b2b0993db0fa42a3d4d58ce8bf0b75db6e826e8dc84007931f629069444

Observation ab6b0e1e-e692-4f57-970f-81b1d4366aee · outbound

This paper cites TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance.

CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 48

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no resolver link, observed 2026-08-06T04:30:49.603678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:30:49.603678Z digest=sha256:af56c3683494d8b697ea7ebfbff0c3bd3906ece3d9ac2286a0b82ca0f762f0a8

Observation 4e83a4af-5163-4d2a-84ba-55e28bf6d381 · outbound

This paper cites an unresolved cited work.

CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation Unresolved cited work

Reference 49

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unresolved
raw_fallback, observed 2026-08-06T04:30:49.782841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T04:30:49.606252Z digest=sha256:bdaac81383b87227a01853283aa758d34e2f1030f4d596896a2147c2fba30f1e

Observation ec7b8668-4c1d-41fb-9546-a16b9e286eaf · outbound

This paper cites FinQA: A Dataset of Numerical Reasoning over Financial Data.

CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation FinQA: A Dataset of Numerical Reasoning over Financial Data

Reference 2021

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unresolved
no resolver link, observed 2026-08-06T04:30:49.515611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:30:49.515611Z digest=sha256:f4c2c9bc4017654a9b81c1341d98deae71d82f0b40fd938f88156762d1b0c19b

Observation b820a635-209a-42cb-a7fb-977973322dab · outbound

This paper cites TAT-LLM: A Specialized Language Model for Discrete Reasoning over Tabular and Textual Data.

CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation TAT-LLM: A Specialized Language Model for Discrete Reasoning over Tabular and Textual Data

Reference 2024

Resolution
verified exact
local_arxiv, observed 2026-08-06T04:30:49.632702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T04:30:49.608528Z digest=sha256:a2f6a43858651e817a0da3b1058414ede0a2fefbdd9980a99990aea9ddd1ee41

Pith citing papers

Observation 6bd35444-f340-4a3f-8d73-b56201b410de · inbound

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

GaiaFlow: Semantic-Guided Diffusion Tuning for Carbon-Frugal Search CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-15T22:00:21.433197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T21:58:04.706427Z digest=sha256:37770e1a63bc293660ebe925b9c30defaa73a65493757275547c83daba22bc56