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Paper Citation Record · LEDGER

Benchmarking pre-trained text embedding models in aligning built asset information

As of 17 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2411.12056.

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

pith.paper-citation-record.v1
2411.12056 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:02:23.285625Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

13 of 13 outbound references displayed

  • verified exact0
  • verified fuzzy8
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 05171453-e0c1-4a6a-b817-216366b375a1 · outbound

This paper cites buildingSmart International.

Benchmarking pre-trained text embedding models in aligning built asset information buildingSmart International

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:02:23.448420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T18:02:23.239038Z digest=sha256:f834d578c6880d66b440e48b579d4d0bac8271a44626a7b729aeed796a9e889a

Observation 3833530e-5006-4b6d-a21b-3a18d27bf6e0 · outbound

This paper cites Cappuzzo, P.

Benchmarking pre-trained text embedding models in aligning built asset information Cappuzzo, P

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:02:23.438385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T18:02:23.243232Z digest=sha256:0b0a19554416a406abb11b6edbaf071ecc78c4f2295e69fa042ed6aa4d868a37

Observation 89b5a276-e8d8-411f-b12c-e9b704b6b3b4 · outbound

This paper cites Forth, P.

Benchmarking pre-trained text embedding models in aligning built asset information Forth, P

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:02:23.426688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T18:02:23.252351Z digest=sha256:221cda466f77afc1fadad524e0c3a3b32c6d14d2220145bb6dd38295b6f9b3e1

Observation 172a0f9a-fc30-4d2e-b188-9fc3b0b4ae5a · outbound

This paper cites NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models.

Benchmarking pre-trained text embedding models in aligning built asset information NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T18:02:23.256694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:02:23.256694Z digest=sha256:b75d6e86d94f8b1916e9ba0f0b9c1edaf005286b09d7a55f14bbf3094de16361

Observation 1dac8c45-808d-4018-af36-66e71f9f20f9 · outbound

This paper cites an unresolved cited work.

Benchmarking pre-trained text embedding models in aligning built asset information Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-12T18:02:23.414258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T18:02:23.261181Z digest=sha256:ff30dd012a937f38710d5ff684b45446baeeb262dadf6c7bf63970a5d3b87d92

Observation 1a3877d5-b0e7-4f1d-a818-07899fb88e1c · outbound

This paper cites Reimers and I.

Benchmarking pre-trained text embedding models in aligning built asset information Reimers and I

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:02:23.378793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T18:02:23.277256Z digest=sha256:54fa050575eb360a111f23978d5cfba9a8716d799e4e7b02108227048440d74e

Observation f152dbe8-3931-4f46-a4cc-1748767e3f05 · outbound

This paper cites Rosenberg and J.

Benchmarking pre-trained text embedding models in aligning built asset information Rosenberg and J

Reference 2018

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:02:23.365828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T18:02:23.285625Z digest=sha256:f8f4a7822c741d07bcfb56a34afd64baebc2c7527f475d1eacfec29568838da3

Observation 20d91195-7094-4587-878c-d2edb80f1d31 · outbound

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

Benchmarking pre-trained text embedding models in aligning built asset information Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-12T18:02:23.281488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:02:23.281488Z digest=sha256:f2779c200a627a7b1c5e8b3e88b516aab0e80635328841674d0b11d334042090

Observation 08e5e32d-dac3-4992-a6ae-3f84d689af7b · outbound

This paper cites The Scandinavian Embedding Benchmarks: Comprehensive Assessment of Multilingual and Monolingual Text Embedding.

Benchmarking pre-trained text embedding models in aligning built asset information The Scandinavian Embedding Benchmarks: Comprehensive Assessment of Multilingual and Monolingual Text Embedding

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-12T18:02:23.247317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:02:23.247317Z digest=sha256:b1fef7847f9eb2b322b97f4133dd0a47875a48825641440be443e56fab3a5c4b

Observation 38c7ac53-397c-43f8-bb05-5135dcca6808 · outbound

This paper cites Pennington, R.

Benchmarking pre-trained text embedding models in aligning built asset information Pennington, R

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:02:23.390217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T18:02:23.272944Z digest=sha256:3810c8544c279e0634507d89b4b82d19dd7accf396002b5486f36802b1f82232

Observation 7ab3a976-9599-4310-b7f6-5c52c1e4af34 · outbound

This paper cites National building specification.

Benchmarking pre-trained text embedding models in aligning built asset information National building specification

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:02:23.402298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T18:02:23.269322Z digest=sha256:6193e8fd79268f1dfd4c4b5932073e9a767e1f859433d1898ecc22018999a2ea

Observation 74aaac0e-505f-4bb7-b2b1-a810b28e08a5 · outbound

This paper cites MTEB: Massive Text Embedding Benchmark.

Benchmarking pre-trained text embedding models in aligning built asset information MTEB: Massive Text Embedding Benchmark

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-12T18:02:23.265226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:02:23.265226Z digest=sha256:006e0cb7349d38f43c7c5845f65c0eef64be160b65f7a051e53d073cbf38978a

Observation 285a23f3-e1d7-470e-be8f-92c61a0cf7cb · outbound

This paper cites 10 Ifcopenshell.

Benchmarking pre-trained text embedding models in aligning built asset information 10 Ifcopenshell

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:02:23.459566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T18:02:23.234491Z digest=sha256:db5a6ffd91dc0c4f2ec5c677700f74efc14d1dc58c740f1cba513ecaff6b6527

Pith citing papers

No inbound Pith citation observations are available.