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Paper Citation Record · LEDGER

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting

As of 9 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 1 inbound Pith citation observation for arXiv:2509.00622.

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

pith.paper-citation-record.v1
2509.00622 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:29:04.628239Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T17:44:46.822585Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

50 of 50 outbound references displayed

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  • unresolved50
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  • malformed identifier0
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External citation measurements

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Outbound references

Observation ab21c1bb-139b-4842-b4aa-f6539398336b · outbound

This paper cites GPT-4 Technical Report.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting GPT-4 Technical Report

Reference 1

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Observation b6d6822f-48d8-4f82-8945-8bee50307ea0 · outbound

This paper cites an unresolved cited work.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting Unresolved cited work

Reference 2

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Observation 4bd6eee1-0580-4ec8-b578-8f9ca9d070cc · outbound

This paper cites an unresolved cited work.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting Unresolved cited work

Reference 3

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source=pdf_text observed=2026-08-05T13:29:00.722765Z digest=sha256:a02c6426d7a542ef980da8a2456bb61d83b0a594cb80e7d507e1a22faca18095

Observation 1645107e-eabe-4401-b9f8-e7fe40ce0e16 · outbound

This paper cites TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting

Reference 4

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source=pdf_text observed=2026-08-05T13:29:00.791648Z digest=sha256:26361b130d9c261da656ba8eb1dd45fc9433a68bf2a1e9958e49857d77642da3

Observation 741cf7d7-73ad-481c-b829-d8fa2dd294d3 · outbound

This paper cites an unresolved cited work.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting Unresolved cited work

Reference 5

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 005dc289-aa9f-436a-ab6b-d5719c02725b · outbound

This paper cites an unresolved cited work.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting Unresolved cited work

Reference 6

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Observation 3f987b6f-484a-41d3-8817-1e489f896d85 · outbound

This paper cites an unresolved cited work.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting Unresolved cited work

Reference 7

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Observation 7f2fdb6d-cf71-4fa6-b8bb-be02c00dc4ab · outbound

This paper cites Can LLMs Serve As Time Series Anomaly Detectors?.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting Can LLMs Serve As Time Series Anomaly Detectors?

Reference 8

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source=pdf_text observed=2026-08-05T13:29:01.156871Z digest=sha256:980797965f8db0313ab24866b9012af4aab890222f8d9c574b7763566bea8625

Observation 2cf766f5-df18-47aa-b11b-5fea394327a3 · outbound

This paper cites Transformer Language Models without Positional Encodings Still Learn Positional Information.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting Transformer Language Models without Positional Encodings Still Learn Positional Information

Reference 9

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source=pdf_text observed=2026-08-05T13:29:01.272274Z digest=sha256:c1ecfd66ba6d76d15390e1fcbf1b12d0c103e35295517480667eceddcce94c5d

Observation 137d9f2a-1b5b-4232-b347-0fedf81ebcb1 · outbound

This paper cites an unresolved cited work.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting Unresolved cited work

Reference 10

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Observation c236ba48-3e3b-4997-a968-619ed5833d3d · outbound

This paper cites an unresolved cited work.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting Unresolved cited work

Reference 11

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source=pdf_text observed=2026-08-05T13:29:01.475009Z digest=sha256:4a333a3fcb36f150f62466894f4bb3cbc9240e1303d3b29a6d6a0c40485147ee

Observation 5eb6b458-a48f-4a62-838c-bfdb82d7ef09 · outbound

This paper cites an unresolved cited work.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting Unresolved cited work

Reference 12

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source=pdf_text observed=2026-08-05T13:29:01.538347Z digest=sha256:3588f97a6f2ff535c6a2402db76e404f48dcbb45fde09a2eeb2a2c13690d45cc

Observation d3c1d603-762e-4c49-9d30-60b9bd732f2d · outbound

This paper cites an unresolved cited work.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting Unresolved cited work

Reference 13

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source=pdf_text observed=2026-08-05T13:29:01.616230Z digest=sha256:c07f3e9a159fb88ea0045d659cec87466b1b059561a8d858613a9f65df18af4c

Observation a2027fe2-2bd4-4b74-b72a-73e66511f150 · outbound

This paper cites an unresolved cited work.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting Unresolved cited work

Reference 14

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source=pdf_text observed=2026-08-05T13:29:01.666174Z digest=sha256:27e9b081784fe8695ffcc26770c2bf47a802741328c7e6d43ab9b47f4fef8b57

Observation 57a3fc17-f263-45c5-b38b-f42ed113bc22 · outbound

This paper cites Time-LLM: Time Series Forecasting by Reprogramming Large Language Models.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 15

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Observation 7877fb4f-4f45-4aa2-a1b3-48af77365b23 · outbound

This paper cites an unresolved cited work.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting Unresolved cited work

Reference 16

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Observation 35aff65f-04de-4487-9656-802e985af8b4 · outbound

This paper cites an unresolved cited work.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting Unresolved cited work

Reference 17

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 05639ea0-3cc0-4467-9c85-bb3a8a42c24e · outbound

This paper cites an unresolved cited work.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting Unresolved cited work

Reference 18

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Observation 6cefcc51-7c2f-45e7-b57b-19d6cd517311 · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 19

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Observation d75ea1f3-f9c2-41cc-8a33-45498fe1409e · outbound

This paper cites an unresolved cited work.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting Unresolved cited work

Reference 20

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Observation 51fdbae6-446b-46c6-82c0-173fcdfae9e9 · outbound

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BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting Unresolved cited work

Reference 21

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Observation bda6c39b-8c4b-47c3-a2ca-4c6f03d963c2 · outbound

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BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting Unresolved cited work

Reference 22

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Observation 4336d6e6-2a23-4382-a04c-e14fa3f941c8 · outbound

This paper cites DeepSeek-V3 Technical Report.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting DeepSeek-V3 Technical Report

Reference 23

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source=pdf_text observed=2026-08-05T13:29:02.367526Z digest=sha256:f1bf076df03bd0ebf146b5f1ee8a083ebafd4b453678c98739bff7daaebab306

Observation 61330db8-09ce-49dd-82b2-8b24d0027a75 · outbound

This paper cites TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment

Reference 24

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Observation cc814be6-3677-458c-b022-9f6a96841f5d · outbound

This paper cites an unresolved cited work.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting Unresolved cited work

Reference 25

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source=pdf_text observed=2026-08-05T13:29:02.523866Z digest=sha256:93038fe567611e01f71029cb0d62487cc86c07aaf73596ef411acd93ddf21121

Observation ad484c81-9be1-4fee-9c04-2510a789b24d · outbound

This paper cites LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting

Reference 26

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Observation 1e69f641-6fae-4907-a459-1c22f7a3b22d · outbound

This paper cites an unresolved cited work.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting Unresolved cited work

Reference 27

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Observation 4495f38b-ec66-4c7d-953d-501729f5a96d · outbound

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BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting Unresolved cited work

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Observation f4c3643d-5c3b-4e97-aaef-c4e5aeec3b97 · outbound

This paper cites iTransformer: Inverted Transformers Are Effective for Time Series Forecasting.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting iTransformer: Inverted Transformers Are Effective for Time Series Forecasting

Reference 29

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Observation 4d1acef0-654c-421f-a98d-cc8bd3903161 · outbound

This paper cites Nguyen, Phanwadee Sinthong, and Jayant Kalagnanam.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting Nguyen, Phanwadee Sinthong, and Jayant Kalagnanam

Reference 30

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source=pdf_text observed=2026-08-05T13:29:02.834041Z digest=sha256:7a0d9334e9bea9296cf22503ced39a2ff2727092e6e0f247b3c471a7dbe18eab

Observation 2ccd906b-acd8-41a7-97ce-0c89c772bf8e · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting Representation Learning with Contrastive Predictive Coding

Reference 31

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source=pdf_text observed=2026-08-05T13:29:02.917174Z digest=sha256:c4aaf68981ae1064f0553d4bc3b0159c34df3a90528ca9d717bfa6c3c2e23091

Observation b24cc8fd-8bc7-483c-93d9-008cd7635188 · outbound

This paper cites an unresolved cited work.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting Unresolved cited work

Reference 32

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source=pdf_text observed=2026-08-05T13:29:02.975140Z digest=sha256:ae87d085857d61b8d7b94b88b3749c4f3bf318e1263020e0a8b51478a8e5f952

Observation a345ccbc-6d47-497e-9e69-c907452c208f · outbound

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BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting Unresolved cited work

Reference 33

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source=pdf_text observed=2026-08-05T13:29:03.049808Z digest=sha256:916896b178f3d3773eac290276b4bba9160ea340aab569378afd7b58cbeda40c

Observation a7c2fce4-56ab-4fe8-ba05-1a42b0cadfdc · outbound

This paper cites NumeroLogic: Number Encoding for Enhanced LLMs' Numerical Reasoning.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting NumeroLogic: Number Encoding for Enhanced LLMs' Numerical Reasoning

Reference 34

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source=pdf_text observed=2026-08-05T13:29:03.136136Z digest=sha256:622744cdd3154496f40d41657c068cbfad34d1c2dcd4a368d003cbfc1cdb8d6c

Observation 1f50eb06-26b9-4c8f-8070-ce132f97a727 · outbound

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BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting Unresolved cited work

Reference 35

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 49c8fbcb-3d5a-49a3-bcaf-e4333e50c2e9 · outbound

This paper cites Tokenization counts: the impact of tokenization on arithmetic in frontier LLMs.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting Tokenization counts: the impact of tokenization on arithmetic in frontier LLMs

Reference 36

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source=pdf_text observed=2026-08-05T13:29:03.261497Z digest=sha256:ae866e689e023066d71e16fa398726fb3eae12af34baf4adcd3bbe741d75fcdb

Observation 3bf5ba72-c72b-41a0-94b5-43a28bfd2f10 · outbound

This paper cites an unresolved cited work.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting Unresolved cited work

Reference 37

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Observation b4432ff7-d64e-4bce-b93a-4fca67f20f6b · outbound

This paper cites TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series

Reference 38

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source=pdf_text observed=2026-08-05T13:29:03.399696Z digest=sha256:7632f3e4da2ec153eff513bdc5b41db613b4e185ecdfe4531825440603a34729

Observation c7f2b74d-d044-4749-990d-3795a51d56fe · outbound

This paper cites an unresolved cited work.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting Unresolved cited work

Reference 39

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source=pdf_text observed=2026-08-05T13:29:03.471637Z digest=sha256:50cd9cc66d7f27bfe5c2b34df21bb35c67261c27354eb0b4b6c7114873d3d353

Observation f088e735-c747-4f7f-bfad-fd91a5a35e35 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting LLaMA: Open and Efficient Foundation Language Models

Reference 40

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source=pdf_text observed=2026-08-05T13:29:03.631047Z digest=sha256:6e578d0777198ba547fa9fdbb57422e91a6cd7021f845f53b5afb867c04fdeaf

Observation 04b8a2c7-c1fd-4bf7-a11a-679babb9fd90 · outbound

This paper cites TS-HTFA: Advancing Time Series Forecasting via Hierarchical Text-Free Alignment with Large Language Models.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting TS-HTFA: Advancing Time Series Forecasting via Hierarchical Text-Free Alignment with Large Language Models

Reference 41

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source=pdf_text observed=2026-08-05T13:29:03.697770Z digest=sha256:b8fe3774989066246914470cc29df59e639b160839430629c15988e4faf3ff18

Observation 2310bee8-4c9d-44a1-885b-557d38278e94 · outbound

This paper cites TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables

Reference 42

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source=pdf_text observed=2026-08-05T13:29:03.761296Z digest=sha256:501d00d6d7daa04697b3f1d992d4aaf74647ff875af83750fa0c33a307ec1688

Observation 867347e4-c4ec-475a-8ec8-572818ffc281 · outbound

This paper cites Context is Key: A Benchmark for Forecasting with Essential Textual Information.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting Context is Key: A Benchmark for Forecasting with Essential Textual Information

Reference 43

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source=pdf_text observed=2026-08-05T13:29:03.897233Z digest=sha256:a4d155ebf3d1515a4cfb2ddd6031126d40614a13341f87b2667115c865eeb1d6

Observation f6fc905a-5bfe-470e-9c03-3491be0e3243 · outbound

This paper cites an unresolved cited work.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting Unresolved cited work

Reference 44

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no resolver link, observed 2026-08-05T13:29:04.037558Z

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source=pdf_text observed=2026-08-05T13:29:04.037558Z digest=sha256:27c2b8c7a773fa3877ca93852596343c4ff8b2248336a939e8149aaa062a7c75

Observation a348ba2b-0192-476b-8cb9-57d2fa41d586 · outbound

This paper cites an unresolved cited work.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting Unresolved cited work

Reference 45

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source=pdf_text observed=2026-08-05T13:29:04.180903Z digest=sha256:cd9f9371caa28b2021c196c25e1648efc9d2e560783713cc6355be6285cc764c

Observation 5894d12a-87be-4750-8af7-a82e9fbc44e3 · outbound

This paper cites Number Cookbook: Number Understanding of Language Models and How to Improve It.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting Number Cookbook: Number Understanding of Language Models and How to Improve It

Reference 46

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unresolved
no resolver link, observed 2026-08-05T13:29:04.304860Z

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source=pdf_text observed=2026-08-05T13:29:04.304860Z digest=sha256:40dd921aa47b714f5ffc1b30cfe1adf4da8630b2af8beeca67ed464422f63e8c

Observation babb7427-5d83-4625-a9c4-c716013f9d82 · outbound

This paper cites Are Transformers Effective for Time Series Forecasting?.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting Are Transformers Effective for Time Series Forecasting?

Reference 47

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source=pdf_text observed=2026-08-05T13:29:04.398331Z digest=sha256:1e35b740312ab2d1ba3e8b625974d16454509d32559806580dc9ba863307facc

Observation 31c2acb5-7ef2-4d5d-829c-fc24f649e580 · outbound

This paper cites an unresolved cited work.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting Unresolved cited work

Reference 48

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:29:04.523357Z digest=sha256:2d94aae7a98c9cb7db7a2ca3150707db2022f77c85b030297d63ef9ac462c835

Observation b31cf617-52e4-4188-8801-4f4f133f7366 · outbound

This paper cites an unresolved cited work.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting Unresolved cited work

Reference 49

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source=pdf_text observed=2026-08-05T13:29:04.628239Z digest=sha256:8cadbe98b2439c912400776fd7ba0be0607317474d5f52481fe4b19769898866

Observation eb6945ea-9661-4049-8e2b-4cb68a67e6b5 · outbound

This paper cites an unresolved cited work.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting Unresolved cited work

Reference 2024

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source=pdf_text observed=2026-08-05T13:29:03.539172Z digest=sha256:adf2c0682d8fe20419c75f2851639036f7c59c0f81b9a65b9daf970ee2fa3b4c

Pith citing papers

Observation a6f9b190-f406-471c-aa60-49701830424b · inbound

Rethinking Multimodal Fusion for Time Series: Text Modalities Need Constrained Fusion cites this paper.

Rethinking Multimodal Fusion for Time Series: Text Modalities Need Constrained Fusion BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting

Reference 44

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source=pdf_text observed=2026-08-02T17:44:46.822585Z digest=sha256:25ae79cd5614dfbab606dbf0248438cfc5852eb3bc50204b67b1c96d51e9ad99